ASUS System Product Name
Geekbench AI Score
36205
Single Precision Score
43650
Half Precision Score
28783
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | tcdtx |
| Upload Date | April 10 2025 02:50 PM |
| Views | 10 |
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 | Bitsum Highest 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15803
2.94 KIPS |
|
|
Image Classification (HP)
|
100% |
17562
3.27 KIPS |
|
|
Image Classification (Q)
|
99% |
13467
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27110
439.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23776
385.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24497
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
231733
270.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
426973
498.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
208296
244.0 IPS |
|
|
Object Detection (SP)
|
100% |
17980
1.43 KIPS |
|
|
Object Detection (HP)
|
99% |
19714
1.56 KIPS |
|
|
Object Detection (Q)
|
87% |
15639
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
49963
593.7 IPS |
|
|
Face Detection (HP)
|
100% |
55828
663.4 IPS |
|
|
Face Detection (Q)
|
97% |
43424
517.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
73224
564.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94098
725.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
59132
473.9 IPS |
|
|
Style Transfer (SP)
|
100% |
396456
509.7 IPS |
|
|
Style Transfer (HP)
|
100% |
664666
854.4 IPS |
|
|
Style Transfer (Q)
|
98% |
358800
462.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47403
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63214
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37635
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4591
6.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4543
6.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2951
3.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6869
118.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7125
122.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3550
66.6 IPS |
