Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
27848
Single Precision Score
40783
Half Precision Score
21882
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DonMiguel85 |
| Upload Date | March 09 2025 01:16 PM |
| Views | 10 |
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% |
10999
2.05 KIPS |
|
|
Image Classification (HP)
|
99% |
15364
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
9799
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18507
300.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23250
376.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16930
275.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
173098
202.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
433535
505.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
155953
182.7 IPS |
|
|
Object Detection (SP)
|
100% |
13665
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
20146
1.60 KIPS |
|
|
Object Detection (Q)
|
85% |
11885
956.8 IPS |
|
|
Face Detection (SP)
|
100% |
38548
458.0 IPS |
|
|
Face Detection (HP)
|
100% |
50893
604.7 IPS |
|
|
Face Detection (Q)
|
97% |
33386
398.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
71714
552.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
118252
913.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
56310
450.2 IPS |
|
|
Style Transfer (SP)
|
100% |
305346
392.5 IPS |
|
|
Style Transfer (HP)
|
100% |
686674
882.7 IPS |
|
|
Style Transfer (Q)
|
98% |
271976
350.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47468
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59303
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34134
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3407
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1934
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4877
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4887
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2426
45.5 IPS |
