ASUS System Product Name
Geekbench AI Score
32916
Single Precision Score
38239
Half Precision Score
26457
Quantized Score
Geekbench AI 1.0.0 Pro for Windows AVX2
Result Information
| User | tcdtx |
| Upload Date | August 19 2024 07:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon PRO W7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14617
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
16306
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
12735
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21792
353.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19771
320.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20480
333.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
227230
265.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
337047
393.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
207206
242.8 IPS |
|
|
Object Detection (SP)
|
100% |
16785
1.33 KIPS |
|
|
Object Detection (HP)
|
99% |
18344
1.46 KIPS |
|
|
Object Detection (Q)
|
89% |
14746
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
42041
499.5 IPS |
|
|
Face Detection (HP)
|
100% |
46330
550.5 IPS |
|
|
Face Detection (Q)
|
97% |
35438
422.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70265
541.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87683
675.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
56453
462.6 IPS |
|
|
Style Transfer (SP)
|
100% |
394760
507.5 IPS |
|
|
Style Transfer (HP)
|
100% |
575543
739.9 IPS |
|
|
Style Transfer (Q)
|
98% |
355757
458.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46692
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57343
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38033
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4499
6.01 KIPS |
|
|
Text Classification (HP)
|
100% |
4911
6.55 KIPS |
|
|
Text Classification (Q)
|
97% |
3198
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5017
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5094
87.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2436
54.3 IPS |
