ASUS System Product Name
Geekbench ML Score
12608
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 07 2024 09:21 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% |
7668
1.43 KIPS |
|
|
Image Classification (F16)
|
100% |
7646
1.43 KIPS |
|
|
Image Classification (I8)
|
100% |
6336
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
6732
112.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
6735
112.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
5610
93.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
104041
126.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
102964
124.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
90973
110.2 IPS |
|
|
Object Detection (F32)
|
100% |
3547
264.8 IPS |
|
|
Object Detection (F16)
|
100% |
3431
256.1 IPS |
|
|
Object Detection (I8)
|
62% |
3820
285.2 IPS |
|
|
Face Detection (F32)
|
100% |
19808
235.5 IPS |
|
|
Face Detection (F16)
|
100% |
19988
237.7 IPS |
|
|
Face Detection (I8)
|
89% |
15391
183.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
48167
373.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
46763
362.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
35510
275.4 IPS |
|
|
Style Transfer (F32)
|
100% |
91428
120.3 IPS |
|
|
Style Transfer (F16)
|
100% |
91564
120.4 IPS |
|
|
Style Transfer (I8)
|
98% |
82305
108.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15285
545.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14596
521.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11127
397.4 IPS |
|
|
Text Classification (F32)
|
100% |
2782
4.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2847
4.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1675
2.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
3392
62.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3381
62.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1929
35.5 IPS |
