Generic
Geekbench AI Score
3416
Single Precision Score
3399
Half Precision Score
4950
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 16 2025 04:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700K CPU @ 4.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z170 OC Formula |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1931
359.1 IPS |
|
|
Image Classification (HP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (Q)
|
100% |
3005
558.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3364
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4123
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4120
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
7442
8.73 IPS |
|
|
Object Detection (SP)
|
100% |
2040
161.8 IPS |
|
|
Object Detection (HP)
|
100% |
2053
162.8 IPS |
|
|
Object Detection (Q)
|
87% |
3158
253.3 IPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (Q)
|
97% |
8158
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5317
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5497
42.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8295
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12069
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12102
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21251
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2479
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2485
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4387
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (Q)
|
91% |
1704
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3465
59.7 IPS |
