Default string Default string
Geekbench AI Score
319
Single Precision Score
318
Half Precision Score
640
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | AndyMcSchopf |
| Upload Date | January 15 2025 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) J4125 CPU @ 2.00GHz |
| 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% |
195
36.2 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
100% |
430
79.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
242
3.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
497
8.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
876
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
87% |
418
33.5 IPS |
|
|
Face Detection (SP)
|
100% |
629
7.47 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
97% |
1203
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
499
3.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
498
3.84 IPS |
|
|
Depth Estimation (Q)
|
81% |
1067
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
871
1.12 IPS |
|
|
Style Transfer (HP)
|
100% |
869
1.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2696
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.43 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
546
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.7 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.6 IPS |
|
|
Text Classification (Q)
|
91% |
291
390.6 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
100% |
271
4.67 IPS |
