System manufacturer System Product Name
Geekbench AI Score
4602
Single Precision Score
4581
Half Precision Score
6793
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 05 2025 10:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700F CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. STRIX B250F GAMING |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (Q)
|
100% |
4771
887.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2784
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2768
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5146
83.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
6883
8.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
13204
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2855
226.4 IPS |
|
|
Object Detection (HP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (Q)
|
87% |
4765
382.1 IPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (Q)
|
97% |
12696
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7830
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7949
61.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
13042
102.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18565
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18287
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36990
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3790
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7409
274.4 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (Q)
|
91% |
853
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3500
60.3 IPS |
