ASUS System Product Name
Geekbench AI Score
3890
Single Precision Score
1653
Half Precision Score
8114
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 24 2025 05:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B850M MAX GAMING WIFI |
| 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% |
4630
861.1 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (Q)
|
99% |
9616
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8033
130.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4183
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
17980
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (Q)
|
86% |
7050
566.6 IPS |
|
|
Face Detection (SP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1679
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
9974
118.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6315
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2312
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13506
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11820
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10939
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25482
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5047
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2742
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3884
78.1 IPS |
