ASUS System Product Name
Geekbench AI Score
25376
Single Precision Score
38227
Half Precision Score
19239
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 05:34 PM |
| Views | 4 |
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. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9302
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
14804
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
8362
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17596
285.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22118
358.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16114
262.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
150230
175.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
343822
401.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
134311
157.3 IPS |
|
|
Object Detection (SP)
|
100% |
12453
987.8 IPS |
|
|
Object Detection (HP)
|
100% |
19179
1.52 KIPS |
|
|
Object Detection (Q)
|
88% |
9984
800.7 IPS |
|
|
Face Detection (SP)
|
100% |
30508
362.5 IPS |
|
|
Face Detection (HP)
|
100% |
43533
517.3 IPS |
|
|
Face Detection (Q)
|
97% |
24861
296.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
57919
446.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104080
801.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
45818
368.6 IPS |
|
|
Style Transfer (SP)
|
100% |
261906
336.7 IPS |
|
|
Style Transfer (HP)
|
100% |
580894
746.7 IPS |
|
|
Style Transfer (Q)
|
98% |
233829
301.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46306
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56012
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33080
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4230
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4904
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4949
85.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2012
44.9 IPS |
