ASUS System Product Name
Geekbench AI Score
2604
Single Precision Score
750
Half Precision Score
3961
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Markus2801A |
| Upload Date | August 15 2024 07:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z590-A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.4 IPS |
|
|
Image Classification (Q)
|
99% |
3941
735.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
2117
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4815
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3967
4.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
20391
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.1 IPS |
|
|
Object Detection (Q)
|
88% |
2016
161.6 IPS |
|
|
Face Detection (SP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
4350
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
917
7.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
8782
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9627
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20639
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3903
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
1745
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
491
657.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
607
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1836
41.0 IPS |
