Generic
Geekbench AI Score
2329
Single Precision Score
2330
Half Precision Score
3540
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 03:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10100F CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B560M Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (Q)
|
100% |
2291
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2952
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2959
3.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
5803
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.1 IPS |
|
|
Object Detection (HP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (Q)
|
87% |
2377
190.6 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
5935
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3741
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3726
28.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
6432
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8604
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8484
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16376
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3383
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (Q)
|
91% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2255
38.8 IPS |
