System manufacturer System Product Name
Geekbench AI Score
1132
Single Precision Score
1169
Half Precision Score
889
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Brock_Suire |
| Upload Date | September 04 2025 12:02 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon HD 7700 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
490
91.2 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.4 IPS |
|
|
Image Classification (Q)
|
100% |
443
82.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
585
9.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2431
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2638
3.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
1928
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.8 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
522
42.0 IPS |
|
|
Face Detection (SP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
977
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2041
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2050
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
1751
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5192
6.67 IPS |
|
|
Style Transfer (HP)
|
100% |
5288
6.80 IPS |
|
|
Style Transfer (Q)
|
98% |
4806
6.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1067
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
522
697.0 IPS |
|
|
Text Classification (HP)
|
100% |
537
717.3 IPS |
|
|
Text Classification (Q)
|
97% |
332
444.6 IPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
94% |
919
15.9 IPS |
|
|
Machine Translation (Q)
|
70% |
406
7.61 IPS |
