System manufacturer System Product Name
Geekbench AI Score
2811
Single Precision Score
1147
Half Precision Score
3651
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF H310M-PLUS GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2418
449.7 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (Q)
|
96% |
3501
653.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2079
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4661
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3759
4.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
8491
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (Q)
|
58% |
2325
254.0 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
1028
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
5934
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6542
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1497
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8035
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11752
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9253
11.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11398
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1717
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2387
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
674
900.0 IPS |
|
|
Text Classification (Q)
|
97% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1932
37.3 IPS |
