Default string Default string
Geekbench AI Score
368
Single Precision Score
420
Half Precision Score
282
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 06:23 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Celeron(R) N5095 @ 2.00GHz |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
158
29.4 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
100% |
152
28.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
179
2.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
932
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1529
1.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
735
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
98% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
86% |
158
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
272
3.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
615
4.74 IPS |
|
|
Depth Estimation (HP)
|
98% |
779
6.02 IPS |
|
|
Depth Estimation (Q)
|
77% |
512
4.09 IPS |
|
|
Style Transfer (SP)
|
100% |
2464
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3563
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1949
2.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
689
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
256
9.49 IPS |
|
|
Text Classification (SP)
|
100% |
190
254.2 IPS |
|
|
Text Classification (HP)
|
100% |
119
158.8 IPS |
|
|
Text Classification (Q)
|
97% |
120
160.6 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
70% |
123
2.31 IPS |
