Wortmann_AG FR1001250;2110029
Geekbench AI Score
1251
Single Precision Score
672
Half Precision Score
1704
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Hais |
| Upload Date | April 11 2025 04:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Wortmann_AG FR1001250;2110029 |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B250M-A |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
850
158.1 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
96% |
1687
315.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
919
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1666
1.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
3883
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
58% |
1082
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.41 IPS |
|
|
Face Detection (Q)
|
96% |
3007
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2370
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
954
7.35 IPS |
|
|
Depth Estimation (Q)
|
78% |
3807
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4741
6.10 IPS |
|
|
Style Transfer (HP)
|
100% |
3722
4.78 IPS |
|
|
Style Transfer (Q)
|
87% |
5567
7.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
813
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1343
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
504
673.3 IPS |
|
|
Text Classification (Q)
|
97% |
328
438.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
403
6.93 IPS |
|
|
Machine Translation (Q)
|
68% |
1129
21.8 IPS |
