Generic
Geekbench AI Score
383
Single Precision Score
379
Half Precision Score
553
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | June 09 2025 02:25 PM |
| Views | 5 |
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% |
190
35.3 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
100% |
353
65.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
412
6.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
319
0.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
709
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
87% |
363
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (Q)
|
97% |
999
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
623
4.80 IPS |
|
|
Depth Estimation (Q)
|
81% |
915
7.23 IPS |
|
|
Style Transfer (SP)
|
100% |
1001
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1002
1.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2119
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
433
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.6 IPS |
|
|
Text Classification (HP)
|
100% |
354
473.0 IPS |
|
|
Text Classification (Q)
|
91% |
216
290.1 IPS |
|
|
Machine Translation (SP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (HP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (Q)
|
100% |
397
6.83 IPS |
