System manufacturer System Product Name
Geekbench AI Score
3983
Single Precision Score
3698
Half Precision Score
5951
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:57 AM |
| Views | 2 |
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. TUF Z390M-PRO GAMING (WI-FI) |
| Power Plan | Bitsum Highest Performance |
| 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% |
2642
491.3 IPS |
|
|
Image Classification (HP)
|
100% |
1996
371.3 IPS |
|
|
Image Classification (Q)
|
100% |
4521
840.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4996
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6243
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5856
6.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
10194
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (Q)
|
87% |
2997
240.4 IPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
11693
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5627
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6741
51.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
11366
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16672
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16936
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34869
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3551
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6947
257.3 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (Q)
|
91% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2958
50.9 IPS |
