ASUS System Product Name
Geekbench AI Score
8506
Single Precision Score
7399
Half Precision Score
5860
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | chaseps |
| Upload Date | September 04 2024 09:08 PM |
| 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% |
3424
636.7 IPS |
|
|
Image Classification (HP)
|
100% |
3526
655.6 IPS |
|
|
Image Classification (Q)
|
100% |
2627
488.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5670
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5202
84.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4650
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36723
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23956
28.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
30900
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
4035
320.1 IPS |
|
|
Object Detection (HP)
|
100% |
4273
339.0 IPS |
|
|
Object Detection (Q)
|
89% |
3334
266.9 IPS |
|
|
Face Detection (SP)
|
100% |
7842
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
8233
97.8 IPS |
|
|
Face Detection (Q)
|
97% |
6084
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19450
149.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16144
124.4 IPS |
|
|
Depth Estimation (Q)
|
71% |
13747
114.6 IPS |
|
|
Style Transfer (SP)
|
100% |
66952
86.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46017
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54024
69.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12894
476.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10723
395.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8243
305.2 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1053
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2750
47.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2825
48.8 IPS |
|
|
Machine Translation (Q)
|
60% |
969
21.6 IPS |
