Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
9484
Single Precision Score
9433
Half Precision Score
6813
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
| 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) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2551
474.3 IPS |
|
|
Image Classification (HP)
|
100% |
3991
742.1 IPS |
|
|
Image Classification (Q)
|
99% |
2202
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6058
98.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4941
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
69834
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
36757
42.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
53733
63.0 IPS |
|
|
Object Detection (SP)
|
100% |
3186
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
5064
401.7 IPS |
|
|
Object Detection (Q)
|
84% |
2752
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
6360
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
9931
118.0 IPS |
|
|
Face Detection (Q)
|
97% |
5510
65.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20984
161.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18564
143.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
15743
125.8 IPS |
|
|
Style Transfer (SP)
|
100% |
109446
140.7 IPS |
|
|
Style Transfer (HP)
|
100% |
61094
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
81873
105.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19194
708.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14993
553.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11289
418.0 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2124
2.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1078
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
96% |
3458
59.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1550
29.1 IPS |
