ASUS System Product Name
Geekbench AI Score
8575
Single Precision Score
6908
Half Precision Score
6100
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Poltava |
| Upload Date | November 01 2024 12:28 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3534
657.3 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.6 IPS |
|
|
Image Classification (Q)
|
100% |
2748
511.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5735
93.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4707
76.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4905
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37099
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22710
26.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
32117
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4293
340.5 IPS |
|
|
Object Detection (HP)
|
100% |
4039
320.4 IPS |
|
|
Object Detection (Q)
|
89% |
3497
280.0 IPS |
|
|
Face Detection (SP)
|
100% |
9040
107.4 IPS |
|
|
Face Detection (HP)
|
100% |
7809
92.8 IPS |
|
|
Face Detection (Q)
|
97% |
7326
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20733
159.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15765
121.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
14918
122.4 IPS |
|
|
Style Transfer (SP)
|
100% |
65240
83.9 IPS |
|
|
Style Transfer (HP)
|
100% |
44823
57.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56003
72.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13515
499.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10042
370.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8650
320.3 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
97% |
965
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2332
40.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2319
40.1 IPS |
|
|
Machine Translation (Q)
|
60% |
923
20.6 IPS |
