ASUS System Product Name
Geekbench AI Score
3290
Single Precision Score
1613
Half Precision Score
7918
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tntn |
| Upload Date | November 03 2025 01:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2861
532.1 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
99% |
6792
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
902
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8146
132.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4162
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3692
4.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
18838
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
7075
568.6 IPS |
|
|
Face Detection (SP)
|
100% |
5288
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
1738
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
9725
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6036
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2294
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14087
112.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11065
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9865
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22406
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1824
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4646
93.4 IPS |
