Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
28138
Single Precision Score
45260
Half Precision Score
21817
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | shaf_ali |
| Upload Date | March 07 2025 11:12 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR (MS-7C94) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11576
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
16850
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
10066
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17411
282.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22465
364.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16094
261.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
170380
198.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
612542
714.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
155243
182.1 IPS |
|
|
Object Detection (SP)
|
100% |
14483
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
21373
1.70 KIPS |
|
|
Object Detection (Q)
|
89% |
12406
993.4 IPS |
|
|
Face Detection (SP)
|
100% |
39094
464.5 IPS |
|
|
Face Detection (HP)
|
100% |
52400
622.6 IPS |
|
|
Face Detection (Q)
|
97% |
31775
378.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
82557
636.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
128322
988.6 IPS |
|
|
Depth Estimation (Q)
|
75% |
60727
489.9 IPS |
|
|
Style Transfer (SP)
|
100% |
308786
396.9 IPS |
|
|
Style Transfer (HP)
|
100% |
897841
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
260382
335.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44279
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67771
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34797
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4613
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4564
78.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2123
47.4 IPS |
