Generic
Geekbench AI Score
861
Single Precision Score
516
Half Precision Score
884
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows AVX2
Result Information
| User | Remarc |
| Upload Date | January 21 2026 01:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-4170 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H81M-VG4 R3.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-4170 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
590
9.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
1292
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
976
1.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
1345
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.6 IPS |
|
|
Object Detection (Q)
|
58% |
430
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
554
6.59 IPS |
|
|
Face Detection (Q)
|
96% |
1464
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1441
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
767
5.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
1550
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2939
3.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2353
3.02 IPS |
|
|
Style Transfer (Q)
|
87% |
3157
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
829
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.6 IPS |
|
|
Text Classification (HP)
|
100% |
394
526.3 IPS |
|
|
Text Classification (Q)
|
97% |
278
371.9 IPS |
|
|
Machine Translation (SP)
|
100% |
749
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
68% |
823
15.9 IPS |
