Generic
Geekbench AI Score
935
Single Precision Score
518
Half Precision Score
885
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | Paddie37 |
| Upload Date | February 12 2025 07:10 AM |
| Views | 5 |
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% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
96% |
700
130.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
561
9.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1235
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1016
1.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
1358
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
58% |
503
55.0 IPS |
|
|
Face Detection (SP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (Q)
|
96% |
1490
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
752
5.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
1550
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3225
4.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2469
3.17 IPS |
|
|
Style Transfer (Q)
|
87% |
3014
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
662
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.7 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.4 IPS |
|
|
Text Classification (Q)
|
97% |
284
380.9 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
68% |
848
16.4 IPS |
