ASUS System Product Name
Geekbench ML Score
12307
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 09:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7583
1.42 KIPS |
|
|
Image Classification (F16)
|
100% |
7610
1.42 KIPS |
|
|
Image Classification (I8)
|
100% |
6491
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
6650
111.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
6576
109.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
6110
102.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
96792
117.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
105047
127.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
90676
109.8 IPS |
|
|
Object Detection (F32)
|
100% |
2925
218.3 IPS |
|
|
Object Detection (F16)
|
100% |
3609
269.4 IPS |
|
|
Object Detection (I8)
|
62% |
3359
250.7 IPS |
|
|
Face Detection (F32)
|
100% |
20023
238.1 IPS |
|
|
Face Detection (F16)
|
100% |
18899
224.7 IPS |
|
|
Face Detection (I8)
|
89% |
15840
188.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
46988
364.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
47938
371.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
33396
259.0 IPS |
|
|
Style Transfer (F32)
|
100% |
90326
118.8 IPS |
|
|
Style Transfer (F16)
|
100% |
88108
115.9 IPS |
|
|
Style Transfer (I8)
|
98% |
81473
107.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11051
394.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14641
522.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11012
393.3 IPS |
|
|
Text Classification (F32)
|
100% |
2838
4.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2796
4.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1695
2.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
3394
62.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3366
61.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1936
35.6 IPS |
