System manufacturer System Product Name
Geekbench AI Score
264
Single Precision Score
198
Half Precision Score
368
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 18 2025 08:42 AM |
| 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% |
158
29.4 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
96% |
267
49.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
243
3.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
283
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
490
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.56 IPS |
|
|
Object Detection (Q)
|
58% |
192
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
272
3.23 IPS |
|
|
Face Detection (Q)
|
96% |
617
7.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
417
3.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
297
2.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
577
4.59 IPS |
|
|
Style Transfer (SP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (Q)
|
87% |
1056
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.54 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
171
6.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
281
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.0 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.4 IPS |
|
|
Text Classification (Q)
|
97% |
180
241.2 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.03 IPS |
|
|
Machine Translation (HP)
|
100% |
164
2.82 IPS |
|
|
Machine Translation (Q)
|
68% |
395
7.63 IPS |
