System manufacturer System Product Name
Geekbench AI Score
323
Single Precision Score
250
Half Precision Score
575
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | yee245 |
| Upload Date | October 28 2025 12:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron G3930 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS IX HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Celeron G3930 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
96% |
405
75.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
397
6.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
312
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
799
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (Q)
|
58% |
285
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (HP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (Q)
|
96% |
918
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
354
2.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
911
7.25 IPS |
|
|
Style Transfer (SP)
|
100% |
894
1.15 IPS |
|
|
Style Transfer (HP)
|
100% |
898
1.15 IPS |
|
|
Style Transfer (Q)
|
87% |
1820
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
202
7.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
192
7.10 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
467
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
248
330.4 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.6 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.4 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (HP)
|
100% |
237
4.08 IPS |
|
|
Machine Translation (Q)
|
68% |
680
13.1 IPS |
