Generic
Geekbench AI Score
1395
Single Precision Score
758
Half Precision Score
1876
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 02:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10100F |
| 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% |
914
170.0 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
96% |
1585
295.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
555
8.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1292
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1777
2.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
3935
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
924
73.3 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (Q)
|
58% |
1078
117.8 IPS |
|
|
Face Detection (SP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
786
9.33 IPS |
|
|
Face Detection (Q)
|
96% |
3170
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2616
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1101
8.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
3908
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5387
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4104
5.28 IPS |
|
|
Style Transfer (Q)
|
87% |
6996
9.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
826
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1825
67.6 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
499
666.5 IPS |
|
|
Text Classification (Q)
|
97% |
314
420.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1256
24.3 IPS |
