Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
13601
Single Precision Score
22797
Half Precision Score
9491
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 01:49 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% |
5452
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
9461
1.76 KIPS |
|
|
Image Classification (Q)
|
99% |
4201
783.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9529
154.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13521
219.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7852
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
67397
78.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
196787
229.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
56556
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
6750
535.4 IPS |
|
|
Object Detection (HP)
|
100% |
11112
881.4 IPS |
|
|
Object Detection (Q)
|
84% |
5200
419.4 IPS |
|
|
Face Detection (SP)
|
100% |
17157
203.9 IPS |
|
|
Face Detection (HP)
|
100% |
26273
312.2 IPS |
|
|
Face Detection (Q)
|
97% |
13571
161.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33854
260.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
61996
477.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
23446
187.7 IPS |
|
|
Style Transfer (SP)
|
100% |
109811
141.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259212
333.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92226
118.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22311
823.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33152
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13593
503.3 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
2770
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1107
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1385
26.0 IPS |
