DESKTOP-YO01156 U1 System manufacturer System Product Name
Geekbench AI Score
600
Single Precision Score
620
Half Precision Score
499
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Yegor99 |
| Upload Date | October 05 2025 11:12 AM |
| Views | 7 |
| Notes | Upgrade 1 Windows 10 Pro 22H2 x64 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon R7 200 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. P7H55-M LX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-650 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 5 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.2 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (Q)
|
100% |
229
42.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1876
2.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1759
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
270
21.7 IPS |
|
|
Face Detection (SP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (HP)
|
100% |
580
6.90 IPS |
|
|
Face Detection (Q)
|
97% |
489
5.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
1148
8.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1183
9.14 IPS |
|
|
Depth Estimation (Q)
|
77% |
990
7.92 IPS |
|
|
Style Transfer (SP)
|
100% |
3426
4.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3118
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
903
33.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
699
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.4 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.7 IPS |
|
|
Text Classification (Q)
|
97% |
191
255.5 IPS |
|
|
Machine Translation (SP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (HP)
|
96% |
256
4.43 IPS |
|
|
Machine Translation (Q)
|
70% |
160
3.01 IPS |
