ASUS System Product Name
Geekbench AI Score
3827
Single Precision Score
1599
Half Precision Score
5683
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 09:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P |
| Power Plan | Energiesparmodus |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.7 IPS |
|
|
Image Classification (Q)
|
99% |
4592
856.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3512
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8414
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
6568
7.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
30702
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
2643
209.6 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
88% |
2152
172.5 IPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
5611
66.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8788
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2231
17.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
10753
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19237
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17940
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31831
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3031
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
711
949.2 IPS |
|
|
Text Classification (Q)
|
97% |
1550
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2992
66.7 IPS |
