ASUS System Product Name
Geekbench AI Score
19482
Single Precision Score
32285
Half Precision Score
14701
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | compaqdrew |
| Upload Date | September 27 2024 07:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P WIFI 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 | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8911
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
13832
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
7448
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12133
196.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15302
248.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11253
183.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
103405
120.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
330141
385.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
87024
101.9 IPS |
|
|
Object Detection (SP)
|
100% |
9682
768.0 IPS |
|
|
Object Detection (HP)
|
100% |
15666
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
7608
609.2 IPS |
|
|
Face Detection (SP)
|
100% |
19732
234.5 IPS |
|
|
Face Detection (HP)
|
100% |
31787
377.7 IPS |
|
|
Face Detection (Q)
|
97% |
16702
199.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
45162
347.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85296
657.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
35164
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
185147
238.0 IPS |
|
|
Style Transfer (HP)
|
100% |
452604
581.8 IPS |
|
|
Style Transfer (Q)
|
98% |
168070
216.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34319
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52718
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25750
953.5 IPS |
|
|
Text Classification (SP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
4745
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1504
33.5 IPS |
