ASUS System Product Name
Geekbench AI Score
37778
Single Precision Score
62210
Half Precision Score
28599
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Veles_VR |
| Upload Date | November 28 2025 02:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14885
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
21640
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
13163
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28138
456.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
39626
642.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
25462
414.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
244515
285.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
752320
877.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
208598
244.3 IPS |
|
|
Object Detection (SP)
|
100% |
19445
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
29361
2.33 KIPS |
|
|
Object Detection (Q)
|
86% |
16568
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
57788
686.6 IPS |
|
|
Face Detection (HP)
|
100% |
83042
986.7 IPS |
|
|
Face Detection (Q)
|
97% |
47139
562.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
92387
711.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
173056
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68514
547.1 IPS |
|
|
Style Transfer (SP)
|
100% |
356654
458.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1146177
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
308280
397.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54850
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79999
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41934
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2431
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7160
123.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7076
121.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3114
58.4 IPS |
