ASUS System Product Name
Geekbench AI Score
8524
Single Precision Score
7365
Half Precision Score
5909
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | chaseps |
| Upload Date | September 05 2024 08:53 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790M-PLUS D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700K |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3455
642.5 IPS |
|
|
Image Classification (HP)
|
100% |
3543
658.9 IPS |
|
|
Image Classification (Q)
|
100% |
2710
504.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5710
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5196
84.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4651
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36303
42.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23909
27.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
30860
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
4092
324.6 IPS |
|
|
Object Detection (HP)
|
100% |
4209
333.9 IPS |
|
|
Object Detection (Q)
|
89% |
3359
269.0 IPS |
|
|
Face Detection (SP)
|
100% |
7900
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
8168
97.0 IPS |
|
|
Face Detection (Q)
|
97% |
6222
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19575
150.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16084
123.9 IPS |
|
|
Depth Estimation (Q)
|
71% |
13684
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65906
84.7 IPS |
|
|
Style Transfer (HP)
|
100% |
45979
59.1 IPS |
|
|
Style Transfer (Q)
|
98% |
53964
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12940
477.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10629
392.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8231
304.8 IPS |
|
|
Text Classification (SP)
|
100% |
1927
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1069
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2722
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2794
48.3 IPS |
|
|
Machine Translation (Q)
|
60% |
983
21.9 IPS |
