System manufacturer System Product Name
Geekbench AI Score
3474
Single Precision Score
893
Half Precision Score
3629
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BotSkill |
| Upload Date | August 18 2024 07:34 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XI APEX |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700KF |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2226
414.1 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
97% |
3136
585.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7248
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6455
7.53 IPS |
|
|
Pose Estimation (Q)
|
87% |
13846
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
86% |
2119
170.4 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (Q)
|
96% |
4080
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7545
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1026
7.91 IPS |
|
|
Depth Estimation (Q)
|
76% |
6812
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17935
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15222
19.6 IPS |
|
|
Style Transfer (Q)
|
87% |
17738
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2517
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3463
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
547
733.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1901
42.4 IPS |
