ASUS System Product Name
Geekbench AI Score
4529
Single Precision Score
1732
Half Precision Score
8065
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Death_Angel_83 |
| Upload Date | January 05 2026 09:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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% |
3512
653.2 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
99% |
8665
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
777
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7413
120.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8472
9.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
35964
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (HP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (Q)
|
86% |
8337
670.0 IPS |
|
|
Face Detection (SP)
|
100% |
8292
98.5 IPS |
|
|
Face Detection (HP)
|
100% |
1481
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
10826
129.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10194
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2680
20.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20372
162.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18847
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17341
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40601
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4753
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
1452
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
450
602.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3159
63.5 IPS |
