Default string Default string
Geekbench AI Score
823
Single Precision Score
458
Half Precision Score
1629
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1115GRE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115GRE |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (Q)
|
99% |
1344
250.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
286
4.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
980
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
939
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
739
0.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
3357
3.94 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
86% |
1421
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.08 IPS |
|
|
Face Detection (Q)
|
97% |
2698
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1292
9.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
628
4.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
3066
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2449
3.15 IPS |
|
|
Style Transfer (HP)
|
100% |
1842
2.37 IPS |
|
|
Style Transfer (Q)
|
98% |
5032
6.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
423
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1777
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
648
864.9 IPS |
|
|
Text Classification (HP)
|
100% |
429
572.7 IPS |
|
|
Text Classification (Q)
|
97% |
294
393.4 IPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
65% |
964
19.4 IPS |
