Generic
Geekbench AI Score
940
Single Precision Score
526
Half Precision Score
892
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Paddie37 |
| Upload Date | February 13 2025 12:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z77 Extreme6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
617
114.8 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
96% |
740
138.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
485
7.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
583
9.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
978
1.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
1294
1.53 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
58% |
475
51.9 IPS |
|
|
Face Detection (SP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
96% |
1521
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1572
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
791
6.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
1591
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3306
4.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2555
3.28 IPS |
|
|
Style Transfer (Q)
|
87% |
3045
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
690
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
566
755.2 IPS |
|
|
Text Classification (HP)
|
100% |
330
439.9 IPS |
|
|
Text Classification (Q)
|
97% |
287
384.6 IPS |
|
|
Machine Translation (SP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
68% |
826
16.0 IPS |
