ASUS System Product Name
Geekbench AI Score
2122
Single Precision Score
924
Half Precision Score
2199
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | September 17 2024 01:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
902
167.8 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.3 IPS |
|
|
Image Classification (Q)
|
96% |
1697
316.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
1815
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12207
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5453
6.36 IPS |
|
|
Pose Estimation (Q)
|
87% |
11555
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
86% |
865
69.6 IPS |
|
|
Face Detection (SP)
|
100% |
1831
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.70 IPS |
|
|
Face Detection (Q)
|
96% |
2482
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4179
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18003
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13649
17.5 IPS |
|
|
Style Transfer (Q)
|
87% |
16119
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1350
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
618
824.4 IPS |
|
|
Text Classification (HP)
|
100% |
282
375.8 IPS |
|
|
Text Classification (Q)
|
97% |
302
404.4 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (Q)
|
60% |
1261
28.1 IPS |
