Micro-Star International Co., Ltd. MS-7E56
Geekbench AI Score
23280
Single Precision Score
44202
Half Precision Score
17902
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 09:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E56 |
| Motherboard | Micro-Star International Co., Ltd. PRO B850-P WIFI (MS-7E56) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9949
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
18368
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
9070
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16164
262.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24084
390.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15153
246.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
120005
140.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
388573
453.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
109143
127.8 IPS |
|
|
Object Detection (SP)
|
100% |
12338
978.6 IPS |
|
|
Object Detection (HP)
|
100% |
23283
1.85 KIPS |
|
|
Object Detection (Q)
|
83% |
10565
853.6 IPS |
|
|
Face Detection (SP)
|
100% |
30811
366.1 IPS |
|
|
Face Detection (HP)
|
100% |
52356
622.1 IPS |
|
|
Face Detection (Q)
|
97% |
26613
317.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
54299
418.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
114945
885.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
43171
344.6 IPS |
|
|
Style Transfer (SP)
|
100% |
168743
216.9 IPS |
|
|
Style Transfer (HP)
|
100% |
602182
774.1 IPS |
|
|
Style Transfer (Q)
|
98% |
147985
190.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34582
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70963
2.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26103
966.5 IPS |
|
|
Text Classification (SP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4947
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2357
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4989
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5593
96.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2040
38.3 IPS |
