System manufacturer System Product Name
Geekbench AI Score
266
Single Precision Score
198
Half Precision Score
369
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 12 2025 08:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-650 |
| 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 | 4.00 GB |
| Type | DDR |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
96% |
268
50.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
243
3.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
293
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
491
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.57 IPS |
|
|
Object Detection (Q)
|
58% |
192
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (HP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (Q)
|
96% |
626
7.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
416
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
296
2.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
577
4.60 IPS |
|
|
Style Transfer (SP)
|
100% |
791
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
799
1.03 IPS |
|
|
Style Transfer (Q)
|
87% |
1064
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
279
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
204
271.8 IPS |
|
|
Text Classification (HP)
|
100% |
138
183.8 IPS |
|
|
Text Classification (Q)
|
97% |
181
241.9 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (HP)
|
100% |
166
2.85 IPS |
|
|
Machine Translation (Q)
|
68% |
395
7.63 IPS |
