ASUS System Product Name
Geekbench AI Score
4695
Single Precision Score
1634
Half Precision Score
6381
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | November 13 2024 07:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2522
469.1 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.2 IPS |
|
|
Image Classification (Q)
|
99% |
4617
861.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2324
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4011
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10708
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4904
5.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
33813
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
3010
238.7 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
88% |
2545
204.0 IPS |
|
|
Face Detection (SP)
|
100% |
5684
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
1830
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
6143
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10899
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2194
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12005
96.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24408
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12147
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31545
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2252
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5743
212.7 IPS |
|
|
Text Classification (SP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.4 IPS |
|
|
Text Classification (Q)
|
97% |
1765
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2982
66.5 IPS |
