Default string Default string
Geekbench AI Score
358
Single Precision Score
212
Half Precision Score
579
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | BulbousSum |
| Upload Date | February 05 2026 05:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Celeron(R) N5095 @ 2.00GHz |
| 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% |
256
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
96% |
429
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
499
8.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
430
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
308
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
820
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
219
17.3 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (Q)
|
58% |
291
31.8 IPS |
|
|
Face Detection (SP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (HP)
|
100% |
277
3.29 IPS |
|
|
Face Detection (Q)
|
96% |
832
9.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
563
4.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
312
2.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
867
6.90 IPS |
|
|
Style Transfer (SP)
|
100% |
953
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
840
1.08 IPS |
|
|
Style Transfer (Q)
|
87% |
1566
2.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.62 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.47 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
457
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
224
298.5 IPS |
|
|
Text Classification (HP)
|
100% |
152
202.5 IPS |
|
|
Text Classification (Q)
|
97% |
374
501.0 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
176
3.03 IPS |
|
|
Machine Translation (Q)
|
68% |
431
8.32 IPS |
