Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
27481
Single Precision Score
40562
Half Precision Score
21804
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DonMiguel85 |
| Upload Date | March 09 2025 01:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11030
2.05 KIPS |
|
|
Image Classification (HP)
|
99% |
15372
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
9812
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18451
299.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23429
379.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16868
274.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
168691
196.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
428896
500.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
151818
177.9 IPS |
|
|
Object Detection (SP)
|
100% |
13700
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
20252
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
11753
946.2 IPS |
|
|
Face Detection (SP)
|
100% |
38313
455.2 IPS |
|
|
Face Detection (HP)
|
100% |
50530
600.4 IPS |
|
|
Face Detection (Q)
|
97% |
32891
392.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
70884
546.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
116908
903.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
55382
442.8 IPS |
|
|
Style Transfer (SP)
|
100% |
296016
380.5 IPS |
|
|
Style Transfer (HP)
|
100% |
680273
874.5 IPS |
|
|
Style Transfer (Q)
|
98% |
268672
346.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45749
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57762
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33951
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3401
4.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1955
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4882
84.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2532
47.5 IPS |
