ASUS System Product Name
Geekbench ML Score
28354
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 10:43 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B760-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8234
1.54 KIPS |
|
|
Image Classification (F16)
|
100% |
11718
2.19 KIPS |
|
|
Image Classification (I8)
|
100% |
10785
2.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19396
323.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
19303
322.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
17881
298.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
286973
347.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
287672
348.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
248217
300.6 IPS |
|
|
Object Detection (F32)
|
100% |
8383
625.8 IPS |
|
|
Object Detection (F16)
|
100% |
8488
633.7 IPS |
|
|
Object Detection (I8)
|
54% |
7853
586.3 IPS |
|
|
Face Detection (F32)
|
100% |
44373
527.6 IPS |
|
|
Face Detection (F16)
|
100% |
44132
524.7 IPS |
|
|
Face Detection (I8)
|
88% |
37352
444.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
88228
684.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
82494
639.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
63767
494.5 IPS |
|
|
Style Transfer (F32)
|
100% |
485131
638.1 IPS |
|
|
Style Transfer (F16)
|
100% |
499464
657.0 IPS |
|
|
Style Transfer (I8)
|
98% |
422444
555.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
52848
1.89 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
53195
1.90 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
40454
1.44 KIPS |
|
|
Text Classification (F32)
|
100% |
3237
4.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3225
4.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1927
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4798
88.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4816
88.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2587
47.6 IPS |
