ASUS System Product Name
Geekbench AI Score
22647
Single Precision Score
34180
Half Precision Score
16851
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | MSZ |
| Upload Date | September 22 2024 09:54 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro B660M-C D4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9118
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
14002
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
7429
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15092
244.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18273
296.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13605
221.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
140989
164.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
326480
380.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
128108
150.0 IPS |
|
|
Object Detection (SP)
|
100% |
10980
870.9 IPS |
|
|
Object Detection (HP)
|
100% |
17887
1.42 KIPS |
|
|
Object Detection (Q)
|
88% |
8601
689.7 IPS |
|
|
Face Detection (SP)
|
100% |
25780
306.3 IPS |
|
|
Face Detection (HP)
|
100% |
38211
454.0 IPS |
|
|
Face Detection (Q)
|
97% |
21599
257.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
50317
387.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87054
672.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
40644
327.8 IPS |
|
|
Style Transfer (SP)
|
100% |
218816
281.3 IPS |
|
|
Style Transfer (HP)
|
100% |
506761
651.4 IPS |
|
|
Style Transfer (Q)
|
98% |
209226
269.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42310
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51075
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29117
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2059
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4092
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4150
71.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1506
33.6 IPS |
