System manufacturer System Product Name
Geekbench AI Score
3371
Single Precision Score
3515
Half Precision Score
5089
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 01:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-E GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
1405
261.2 IPS |
|
|
Image Classification (Q)
|
100% |
2061
383.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4051
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5280
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5264
6.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
10500
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
2324
184.3 IPS |
|
|
Object Detection (Q)
|
87% |
3570
286.3 IPS |
|
|
Face Detection (SP)
|
100% |
3899
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (Q)
|
97% |
9786
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6399
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6554
50.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
10536
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15217
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14819
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29571
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3057
112.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3070
113.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5773
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (Q)
|
91% |
778
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2719
46.8 IPS |
