ASUS System Product Name
Geekbench AI Score
22260
Single Precision Score
32631
Half Precision Score
17181
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 02:23 PM |
| Views | 2 |
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. PRIME Z590-P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7988
1.49 KIPS |
|
|
Image Classification (HP)
|
99% |
13479
2.51 KIPS |
|
|
Image Classification (Q)
|
100% |
6880
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14218
230.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17204
278.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13141
213.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
147510
172.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
322531
376.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
130899
153.3 IPS |
|
|
Object Detection (SP)
|
100% |
10622
842.6 IPS |
|
|
Object Detection (HP)
|
100% |
15720
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
9046
725.5 IPS |
|
|
Face Detection (SP)
|
100% |
26760
318.0 IPS |
|
|
Face Detection (HP)
|
100% |
35490
421.7 IPS |
|
|
Face Detection (Q)
|
97% |
22407
267.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
54226
417.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
91169
702.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
42359
340.7 IPS |
|
|
Style Transfer (SP)
|
100% |
254537
327.2 IPS |
|
|
Style Transfer (HP)
|
100% |
527743
678.4 IPS |
|
|
Style Transfer (Q)
|
98% |
226662
292.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38432
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47929
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28889
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3199
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2040
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1652
36.8 IPS |
