Default string Default string
Geekbench AI Score
1423
Single Precision Score
735
Half Precision Score
1865
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 10:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-9100 |
| 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% |
1038
193.0 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
430
6.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
1186
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2297
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2070
2.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
3966
4.69 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.2 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.2 IPS |
|
|
Object Detection (Q)
|
58% |
1146
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
96% |
3175
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2863
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1061
8.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
4118
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5768
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4658
5.99 IPS |
|
|
Style Transfer (Q)
|
87% |
6194
8.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2005
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
545
727.4 IPS |
|
|
Text Classification (Q)
|
97% |
313
419.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (Q)
|
68% |
1123
21.7 IPS |
