Default string Default string
Geekbench AI Score
288
Single Precision Score
123
Half Precision Score
306
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | AndyMcSchopf |
| Upload Date | January 15 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron J4125 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Celeron J4125 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 122 Stepping 8 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (HP)
|
100% |
41
7.63 IPS |
|
|
Image Classification (Q)
|
97% |
147
27.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
61
0.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
254
4.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
255
0.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
379
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
50
3.99 IPS |
|
|
Object Detection (Q)
|
86% |
148
11.9 IPS |
|
|
Face Detection (SP)
|
100% |
451
5.36 IPS |
|
|
Face Detection (HP)
|
100% |
95
1.13 IPS |
|
|
Face Detection (Q)
|
97% |
695
8.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
445
3.54 IPS |
|
|
Style Transfer (SP)
|
100% |
887
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (Q)
|
98% |
1041
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
153
5.65 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
243
9.00 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.4 IPS |
|
|
Text Classification (HP)
|
100% |
110
146.2 IPS |
|
|
Text Classification (Q)
|
97% |
226
302.6 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
123
2.11 IPS |
|
|
Machine Translation (Q)
|
65% |
196
3.94 IPS |
