Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
21160
Single Precision Score
34120
Half Precision Score
13544
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | 86_crazy |
| Upload Date | January 28 2025 05:30 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8138
1.51 KIPS |
|
|
Image Classification (HP)
|
99% |
12725
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
5801
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14154
229.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20632
334.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11002
178.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
120012
140.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
319699
373.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
97107
113.8 IPS |
|
|
Object Detection (SP)
|
100% |
11191
887.7 IPS |
|
|
Object Detection (HP)
|
100% |
18245
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
7913
637.0 IPS |
|
|
Face Detection (SP)
|
100% |
26622
316.3 IPS |
|
|
Face Detection (HP)
|
100% |
41359
491.4 IPS |
|
|
Face Detection (Q)
|
97% |
19691
234.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
49631
382.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94606
728.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
32498
260.3 IPS |
|
|
Style Transfer (SP)
|
100% |
192120
247.0 IPS |
|
|
Style Transfer (HP)
|
100% |
487662
626.9 IPS |
|
|
Style Transfer (Q)
|
98% |
148390
191.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36708
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47038
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20153
746.2 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
3707
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1440
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1537
28.8 IPS |
