ASUS System Product Name
Geekbench AI Score
24906
Single Precision Score
36921
Half Precision Score
20278
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | enfwngzer |
| Upload Date | December 18 2024 01:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B660-A GAMING WIFI D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10542
1.96 KIPS |
|
|
Image Classification (HP)
|
99% |
14701
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
9229
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13709
222.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17161
278.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14341
233.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
162926
190.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
381972
445.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
146996
172.2 IPS |
|
|
Object Detection (SP)
|
100% |
11964
949.0 IPS |
|
|
Object Detection (HP)
|
100% |
16617
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
10770
867.0 IPS |
|
|
Face Detection (SP)
|
100% |
30791
365.9 IPS |
|
|
Face Detection (HP)
|
100% |
43670
518.9 IPS |
|
|
Face Detection (Q)
|
97% |
29449
351.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
63629
490.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113547
877.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
49986
399.6 IPS |
|
|
Style Transfer (SP)
|
100% |
292048
375.4 IPS |
|
|
Style Transfer (HP)
|
100% |
652534
838.8 IPS |
|
|
Style Transfer (Q)
|
98% |
260224
335.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44726
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56454
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33056
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2004
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2212
41.5 IPS |
