Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
18062
Single Precision Score
28386
Half Precision Score
11969
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7162
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
10324
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
5288
983.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11952
193.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17399
282.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9448
153.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
104036
121.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
292887
341.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
83132
97.4 IPS |
|
|
Object Detection (SP)
|
100% |
9382
744.2 IPS |
|
|
Object Detection (HP)
|
100% |
14055
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
6951
559.6 IPS |
|
|
Face Detection (SP)
|
100% |
21134
251.1 IPS |
|
|
Face Detection (HP)
|
100% |
32136
381.8 IPS |
|
|
Face Detection (Q)
|
97% |
16095
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
46530
358.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81065
624.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30286
242.6 IPS |
|
|
Style Transfer (SP)
|
100% |
172693
222.0 IPS |
|
|
Style Transfer (HP)
|
100% |
420054
540.0 IPS |
|
|
Style Transfer (Q)
|
98% |
134795
173.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29742
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39571
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17125
634.1 IPS |
|
|
Text Classification (SP)
|
100% |
2383
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
2883
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1308
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1420
26.6 IPS |
