Generic
Geekbench AI Score
2513
Single Precision Score
2504
Half Precision Score
3829
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | PB7591 |
| Upload Date | March 01 2025 08:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10305 CPU @ 3.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H470M-HVS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10305 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (HP)
|
100% |
1545
287.3 IPS |
|
|
Image Classification (Q)
|
100% |
2410
448.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3236
3.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
6271
7.35 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (Q)
|
87% |
2411
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (Q)
|
97% |
6343
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4098
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4162
32.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6845
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9357
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9289
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17645
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1870
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3556
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
91% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2222
38.3 IPS |
