Default string Default string
Geekbench AI Score
675
Single Precision Score
699
Half Precision Score
472
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | roberotto |
| Upload Date | October 11 2025 04:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.3 IPS |
|
|
Image Classification (Q)
|
100% |
247
45.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
1850
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2122
2.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
1368
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
98% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
86% |
277
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (HP)
|
100% |
730
8.68 IPS |
|
|
Face Detection (Q)
|
97% |
523
6.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
1229
9.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
1364
10.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
940
7.53 IPS |
|
|
Style Transfer (SP)
|
100% |
3883
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
5459
7.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3017
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
698
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
382
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.2 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.6 IPS |
|
|
Text Classification (Q)
|
97% |
181
242.8 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
70% |
173
3.24 IPS |
