ASUS System Product Name
Geekbench AI Score
22161
Single Precision Score
33971
Half Precision Score
17087
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| 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% |
7960
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12010
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
7030
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17095
277.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24619
399.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15153
246.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
160051
186.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
321310
374.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
143370
168.0 IPS |
|
|
Object Detection (SP)
|
100% |
10883
863.2 IPS |
|
|
Object Detection (HP)
|
100% |
15896
1.26 KIPS |
|
|
Object Detection (Q)
|
85% |
9236
742.9 IPS |
|
|
Face Detection (SP)
|
100% |
33198
394.5 IPS |
|
|
Face Detection (HP)
|
100% |
47288
561.9 IPS |
|
|
Face Detection (Q)
|
97% |
28621
341.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
51364
395.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
92757
716.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
40227
321.2 IPS |
|
|
Style Transfer (SP)
|
100% |
232476
298.9 IPS |
|
|
Style Transfer (HP)
|
100% |
541365
695.9 IPS |
|
|
Style Transfer (Q)
|
98% |
210452
271.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32846
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46497
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25515
944.8 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2842
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1321
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4293
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1842
34.5 IPS |
