Generic
Geekbench AI Score
371
Single Precision Score
369
Half Precision Score
535
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | June 09 2025 10:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-3240 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z68 Extreme4 Gen3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3240 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.1 IPS |
|
|
Image Classification (Q)
|
100% |
341
63.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
416
6.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
309
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
307
0.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
693
0.81 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.8 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.6 IPS |
|
|
Object Detection (Q)
|
87% |
351
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
689
8.19 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.53 IPS |
|
|
Face Detection (Q)
|
97% |
963
11.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
591
4.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
594
4.57 IPS |
|
|
Depth Estimation (Q)
|
81% |
862
6.81 IPS |
|
|
Style Transfer (SP)
|
100% |
951
1.22 IPS |
|
|
Style Transfer (HP)
|
100% |
960
1.23 IPS |
|
|
Style Transfer (Q)
|
98% |
2060
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
429
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
375
500.7 IPS |
|
|
Text Classification (HP)
|
100% |
350
466.6 IPS |
|
|
Text Classification (Q)
|
91% |
204
273.8 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
100% |
376
6.48 IPS |
