ASUS System Product Name
Geekbench AI Score
4382
Single Precision Score
2029
Half Precision Score
8990
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2802
521.2 IPS |
|
|
Image Classification (HP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (Q)
|
99% |
7226
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9177
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5626
6.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4808
5.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
22007
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
3062
242.9 IPS |
|
|
Object Detection (HP)
|
100% |
1033
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
8373
672.9 IPS |
|
|
Face Detection (SP)
|
100% |
7887
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
2213
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
10656
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8099
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2978
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18203
145.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15987
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13473
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27944
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6099
225.8 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4194
84.3 IPS |
