Generic
Geekbench AI Score
805
Single Precision Score
445
Half Precision Score
842
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | Cifra45 |
| Upload Date | May 28 2025 06:20 PM |
| Views | 4 |
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% |
625
116.3 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
96% |
632
118.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
446
7.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
548
8.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
990
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
1138
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
58% |
439
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
594
7.06 IPS |
|
|
Face Detection (Q)
|
96% |
1349
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1369
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
659
5.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
1339
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2701
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2074
2.67 IPS |
|
|
Style Transfer (Q)
|
87% |
2677
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
522
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
567
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.5 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.9 IPS |
|
|
Text Classification (Q)
|
97% |
449
602.2 IPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (Q)
|
68% |
841
16.2 IPS |
