System manufacturer System Product Name
Geekbench AI Score
263
Single Precision Score
198
Half Precision Score
367
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 18 2025 08:59 AM |
| Views | 3 |
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% |
162
30.2 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.3 IPS |
|
|
Image Classification (Q)
|
96% |
264
49.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
245
3.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
294
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
277
0.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
486
0.57 IPS |
|
|
Object Detection (SP)
|
100% |
152
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.56 IPS |
|
|
Object Detection (Q)
|
58% |
191
20.8 IPS |
|
|
Face Detection (SP)
|
100% |
475
5.64 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.25 IPS |
|
|
Face Detection (Q)
|
96% |
619
7.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
414
3.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
296
2.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
570
4.54 IPS |
|
|
Style Transfer (SP)
|
100% |
779
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
793
1.02 IPS |
|
|
Style Transfer (Q)
|
87% |
1047
1.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
176
6.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
280
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
201
268.2 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.7 IPS |
|
|
Text Classification (Q)
|
97% |
180
241.7 IPS |
|
|
Machine Translation (SP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.84 IPS |
|
|
Machine Translation (Q)
|
68% |
402
7.76 IPS |
