ASUS System Product Name
Geekbench AI Score
5786
Single Precision Score
2490
Half Precision Score
10124
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 11:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2771
515.3 IPS |
|
|
Image Classification (HP)
|
100% |
920
171.1 IPS |
|
|
Image Classification (Q)
|
99% |
10149
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4538
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9596
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8086
9.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
32516
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4822
382.4 IPS |
|
|
Object Detection (HP)
|
100% |
1191
94.4 IPS |
|
|
Object Detection (Q)
|
86% |
10499
843.8 IPS |
|
|
Face Detection (SP)
|
100% |
11304
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
14147
168.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12668
97.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3608
27.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20440
163.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24080
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19707
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40030
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3662
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5338
197.6 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2306
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5054
101.6 IPS |
