ASUS System Product Name
Geekbench AI Score
2874
Single Precision Score
1380
Half Precision Score
6454
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 02:44 AM |
| Views | 1 |
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% |
3425
636.9 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (Q)
|
99% |
7494
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6258
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
12905
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
86% |
4736
380.6 IPS |
|
|
Face Detection (SP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
8439
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4447
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1840
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10346
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8432
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7981
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18654
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1647
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3738
75.1 IPS |
