Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
13757
Single Precision Score
22794
Half Precision Score
9547
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 01:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5524
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
9471
1.76 KIPS |
|
|
Image Classification (Q)
|
99% |
4230
788.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9911
160.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13658
221.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7860
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
68295
79.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
199019
232.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
57424
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
6808
540.0 IPS |
|
|
Object Detection (HP)
|
100% |
11332
898.8 IPS |
|
|
Object Detection (Q)
|
84% |
5223
421.2 IPS |
|
|
Face Detection (SP)
|
100% |
17184
204.2 IPS |
|
|
Face Detection (HP)
|
100% |
26212
311.5 IPS |
|
|
Face Detection (Q)
|
97% |
13542
161.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33865
260.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62013
477.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
23386
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
111853
143.8 IPS |
|
|
Style Transfer (HP)
|
100% |
260045
334.3 IPS |
|
|
Style Transfer (Q)
|
98% |
92982
119.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22565
833.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33154
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13689
506.9 IPS |
|
|
Text Classification (SP)
|
100% |
1824
2.43 KIPS |
|
|
Text Classification (HP)
|
99% |
2585
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1115
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1404
26.3 IPS |
