ASUS System Product Name
Geekbench AI Score
26657
Single Precision Score
39481
Half Precision Score
20837
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | enfwngzer |
| Upload Date | December 20 2024 10:05 AM |
| 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% |
11247
2.09 KIPS |
|
|
Image Classification (HP)
|
99% |
15986
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
9763
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16262
263.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19889
322.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14920
242.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
169012
197.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
412620
481.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
150741
176.6 IPS |
|
|
Object Detection (SP)
|
100% |
13004
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
19124
1.52 KIPS |
|
|
Object Detection (Q)
|
85% |
10965
882.7 IPS |
|
|
Face Detection (SP)
|
100% |
33729
400.8 IPS |
|
|
Face Detection (HP)
|
100% |
44118
524.2 IPS |
|
|
Face Detection (Q)
|
97% |
29128
347.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
64868
499.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
115562
892.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
51394
410.9 IPS |
|
|
Style Transfer (SP)
|
100% |
297492
382.4 IPS |
|
|
Style Transfer (HP)
|
100% |
670140
861.5 IPS |
|
|
Style Transfer (Q)
|
98% |
258593
333.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46555
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57690
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33830
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3562
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4419
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2149
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2278
42.7 IPS |
