Generic
Geekbench AI Score
399
Single Precision Score
400
Half Precision Score
575
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | June 09 2025 01:01 PM |
| Views | 2 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
100% |
369
68.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
440
7.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
741
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.8 IPS |
|
|
Object Detection (Q)
|
87% |
370
29.7 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
97% |
1048
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
651
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
81% |
929
7.34 IPS |
|
|
Style Transfer (SP)
|
100% |
1032
1.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1032
1.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2191
2.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
447
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
365
486.7 IPS |
|
|
Text Classification (HP)
|
100% |
371
495.8 IPS |
|
|
Text Classification (Q)
|
91% |
226
304.0 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (HP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (Q)
|
100% |
413
7.11 IPS |
