System manufacturer System Product Name
Geekbench AI Score
929
Single Precision Score
936
Half Precision Score
1419
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | PaulDoyle |
| Upload Date | February 04 2025 08:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770K CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8Z77-M |
| Power Plan | High performance |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.6 IPS |
|
|
Image Classification (Q)
|
100% |
922
171.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1081
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
843
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
842
0.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
1882
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
87% |
918
73.6 IPS |
|
|
Face Detection (SP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
2566
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1604
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1596
12.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
2353
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2489
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2496
3.21 IPS |
|
|
Style Transfer (Q)
|
98% |
5616
7.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1144
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
831
1.11 KIPS |
|
|
Text Classification (Q)
|
91% |
519
697.6 IPS |
|
|
Machine Translation (SP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
100% |
957
16.5 IPS |
