Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
26617
Single Precision Score
38809
Half Precision Score
20964
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | DonMiguel85 |
| Upload Date | March 09 2025 12:43 PM |
| Views | 12 |
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% |
10197
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
14292
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
9061
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17934
290.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22730
368.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16371
266.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
169060
197.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
408194
476.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
151627
177.7 IPS |
|
|
Object Detection (SP)
|
100% |
13158
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
19275
1.53 KIPS |
|
|
Object Detection (Q)
|
85% |
11238
904.7 IPS |
|
|
Face Detection (SP)
|
100% |
37402
444.4 IPS |
|
|
Face Detection (HP)
|
100% |
49412
587.1 IPS |
|
|
Face Detection (Q)
|
97% |
32271
384.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
67826
522.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112798
871.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
53148
424.9 IPS |
|
|
Style Transfer (SP)
|
100% |
294605
378.7 IPS |
|
|
Style Transfer (HP)
|
100% |
657165
844.8 IPS |
|
|
Style Transfer (Q)
|
98% |
261616
337.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43658
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54935
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32167
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3310
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4752
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4553
78.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2412
45.2 IPS |
