Default string Default string
Geekbench AI Score
983
Single Precision Score
1057
Half Precision Score
1658
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 10:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-9100 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard Evaluation (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-9100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.4 IPS |
|
|
Image Classification (Q)
|
100% |
1975
367.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1202
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
1741
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (Q)
|
87% |
1027
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
2685
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1740
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
3283
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5792
7.45 IPS |
|
|
Style Transfer (HP)
|
100% |
5844
7.51 IPS |
|
|
Style Transfer (Q)
|
98% |
10855
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
928
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
712
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.2 IPS |
|
|
Text Classification (HP)
|
100% |
467
623.6 IPS |
|
|
Text Classification (Q)
|
91% |
407
546.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1334
23.0 IPS |
