ASUS System Product Name
Geekbench AI Score
4677
Single Precision Score
1732
Half Precision Score
7773
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 11:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B660-PLUS D4 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3847
715.4 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (Q)
|
99% |
6902
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3872
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8332
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4779
5.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
28369
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (HP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
86% |
7061
567.5 IPS |
|
|
Face Detection (SP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
10581
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10378
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2308
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17256
137.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19826
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11950
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22980
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3442
127.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5443
201.6 IPS |
|
|
Text Classification (SP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2107
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3545
71.2 IPS |
