Generic
Geekbench AI Score
758
Single Precision Score
432
Half Precision Score
819
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | iClondike |
| Upload Date | May 28 2025 07:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock P67 Extreme6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
563
104.7 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
96% |
625
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
528
8.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
979
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
817
0.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
1119
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
58% |
428
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
568
6.75 IPS |
|
|
Face Detection (Q)
|
96% |
1278
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1202
9.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
639
4.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
1306
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2532
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2098
2.70 IPS |
|
|
Style Transfer (Q)
|
87% |
2578
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
422
563.9 IPS |
|
|
Text Classification (HP)
|
100% |
229
306.0 IPS |
|
|
Text Classification (Q)
|
97% |
441
591.0 IPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.88 IPS |
|
|
Machine Translation (Q)
|
68% |
822
15.9 IPS |
