System manufacturer System Product Name
Geekbench AI Score
395
Single Precision Score
391
Half Precision Score
1305
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | Razorvashka |
| Upload Date | August 16 2024 11:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770K CPU @ 3.50GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8P67 LE |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (Q)
|
100% |
827
153.8 IPS |
|
|
Image Segmentation (SP)
|
29% |
49
10.1 IPS |
|
|
Image Segmentation (HP)
|
29% |
48
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
875
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
778
0.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
1731
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (Q)
|
87% |
811
65.1 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
2291
27.3 IPS |
|
|
Depth Estimation (SP)
|
29% |
103
11.0 IPS |
|
|
Depth Estimation (HP)
|
29% |
106
11.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
2086
16.5 IPS |
|
|
Style Transfer (SP)
|
31% |
193
2.62 IPS |
|
|
Style Transfer (HP)
|
31% |
185
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
5229
6.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
665
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1068
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
731
976.3 IPS |
|
|
Text Classification (Q)
|
91% |
480
645.0 IPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
90% |
1109
19.3 IPS |
