Default string Default string
Geekbench AI Score
1362
Single Precision Score
1396
Half Precision Score
933
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 03:52 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 3 N355 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 1.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.0 IPS |
|
|
Image Classification (Q)
|
100% |
506
94.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
628
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4397
5.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
4920
5.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3008
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
98% |
563
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
557
44.8 IPS |
|
|
Face Detection (SP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
970
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2611
20.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2909
22.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1944
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9141
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12317
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
6657
8.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
775
28.7 IPS |
|
|
Text Classification (SP)
|
100% |
666
889.2 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.9 IPS |
|
|
Text Classification (Q)
|
97% |
323
432.3 IPS |
|
|
Machine Translation (SP)
|
100% |
519
8.93 IPS |
|
|
Machine Translation (HP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (Q)
|
70% |
301
5.65 IPS |
