Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
29842
Single Precision Score
43845
Half Precision Score
23050
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 01:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| 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% |
11532
2.14 KIPS |
|
|
Image Classification (HP)
|
99% |
15563
2.90 KIPS |
|
|
Image Classification (Q)
|
100% |
9930
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21367
346.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27580
447.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19331
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
196580
229.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
469289
547.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
174684
204.7 IPS |
|
|
Object Detection (SP)
|
100% |
14869
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
21721
1.72 KIPS |
|
|
Object Detection (Q)
|
85% |
12319
991.0 IPS |
|
|
Face Detection (SP)
|
100% |
43388
515.5 IPS |
|
|
Face Detection (HP)
|
100% |
57234
680.1 IPS |
|
|
Face Detection (Q)
|
97% |
36734
438.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
72758
560.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
125611
970.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
56267
449.8 IPS |
|
|
Style Transfer (SP)
|
100% |
346928
446.0 IPS |
|
|
Style Transfer (HP)
|
100% |
796106
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
303731
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46217
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56689
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33737
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3489
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1881
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5388
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2573
48.3 IPS |
