Micro-Star International Co., Ltd. US Desktop Aegis RS
Geekbench AI Score
25096
Single Precision Score
37698
Half Precision Score
18901
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dpmeersman |
| Upload Date | November 02 2024 12:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Aegis RS |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10170
1.89 KIPS |
|
|
Image Classification (HP)
|
99% |
15559
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
8615
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15864
257.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19555
317.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14462
235.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
146725
171.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
336272
392.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
127082
148.8 IPS |
|
|
Object Detection (SP)
|
100% |
12300
975.7 IPS |
|
|
Object Detection (HP)
|
100% |
19234
1.53 KIPS |
|
|
Object Detection (Q)
|
88% |
10530
844.5 IPS |
|
|
Face Detection (SP)
|
100% |
28744
341.5 IPS |
|
|
Face Detection (HP)
|
100% |
40640
482.9 IPS |
|
|
Face Detection (Q)
|
97% |
24022
286.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
58792
453.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104635
806.1 IPS |
|
|
Depth Estimation (Q)
|
70% |
43168
361.4 IPS |
|
|
Style Transfer (SP)
|
100% |
261234
335.8 IPS |
|
|
Style Transfer (HP)
|
100% |
574430
738.4 IPS |
|
|
Style Transfer (Q)
|
98% |
232803
300.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47309
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56302
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33283
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4965
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2230
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4165
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1948
43.5 IPS |
