Generic
Geekbench AI Score
343
Single Precision Score
250
Half Precision Score
489
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 23 2026 06:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G3260 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H81 Pro BTC R2.0 |
| CPU Information | |
|---|---|
| Name | Intel Pentium G3260 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (Q)
|
96% |
344
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
358
5.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
336
0.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
634
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
58% |
242
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
602
7.15 IPS |
|
|
Face Detection (HP)
|
100% |
357
4.25 IPS |
|
|
Face Detection (Q)
|
96% |
809
9.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
508
3.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
359
2.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
756
6.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1006
1.29 IPS |
|
|
Style Transfer (HP)
|
100% |
952
1.22 IPS |
|
|
Style Transfer (Q)
|
87% |
1438
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.6 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.9 IPS |
|
|
Text Classification (Q)
|
97% |
231
309.9 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.07 IPS |
|
|
Machine Translation (HP)
|
100% |
212
3.64 IPS |
|
|
Machine Translation (Q)
|
68% |
537
10.4 IPS |
