System manufacturer System Product Name
Geekbench AI Score
3330
Single Precision Score
1404
Half Precision Score
4750
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 05 2025 10:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700F |
| 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% |
2905
540.3 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
96% |
4221
788.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
5113
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6243
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5265
6.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
11268
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2756
218.6 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
58% |
2770
302.7 IPS |
|
|
Face Detection (SP)
|
100% |
3459
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (Q)
|
96% |
6664
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1845
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9486
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14590
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12149
15.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13815
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2457
90.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3955
146.5 IPS |
|
|
Text Classification (SP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1241
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2028
39.2 IPS |
