System manufacturer System Product Name
Geekbench ML Score
17301
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-I GAMING |
| Power Plan | Performan nalt |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8377
1.57 KIPS |
|
|
Image Classification (F16)
|
100% |
8355
1.56 KIPS |
|
|
Image Classification (I8)
|
100% |
7391
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10288
171.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
10303
172.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
9714
162.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
134492
162.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
134614
163.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
120169
145.5 IPS |
|
|
Object Detection (F32)
|
100% |
5410
403.9 IPS |
|
|
Object Detection (F16)
|
100% |
5351
399.5 IPS |
|
|
Object Detection (I8)
|
63% |
4789
357.6 IPS |
|
|
Face Detection (F32)
|
100% |
22122
263.0 IPS |
|
|
Face Detection (F16)
|
100% |
22885
272.1 IPS |
|
|
Face Detection (I8)
|
89% |
20041
238.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
55420
429.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
49001
380.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
40815
316.5 IPS |
|
|
Style Transfer (F32)
|
100% |
252321
331.9 IPS |
|
|
Style Transfer (F16)
|
100% |
223975
294.6 IPS |
|
|
Style Transfer (I8)
|
98% |
199969
263.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38366
1.37 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
38451
1.37 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
28306
1.01 KIPS |
|
|
Text Classification (F32)
|
100% |
2504
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
2468
3.55 KIPS |
|
|
Text Classification (I8)
|
98% |
1656
2.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2998
55.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2694
49.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1971
36.3 IPS |
