Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
18399
Single Precision Score
33295
Half Precision Score
14179
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 06:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7616
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
13527
2.52 KIPS |
|
|
Image Classification (Q)
|
99% |
6836
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12344
200.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17547
284.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10796
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
92858
108.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
281901
328.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
80608
94.4 IPS |
|
|
Object Detection (SP)
|
100% |
10295
816.6 IPS |
|
|
Object Detection (HP)
|
100% |
16981
1.35 KIPS |
|
|
Object Detection (Q)
|
83% |
8641
698.1 IPS |
|
|
Face Detection (SP)
|
100% |
23987
285.0 IPS |
|
|
Face Detection (HP)
|
100% |
39528
469.7 IPS |
|
|
Face Detection (Q)
|
97% |
21144
252.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
46182
355.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94102
725.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36454
291.5 IPS |
|
|
Style Transfer (SP)
|
100% |
143052
183.9 IPS |
|
|
Style Transfer (HP)
|
100% |
492497
633.1 IPS |
|
|
Style Transfer (Q)
|
98% |
122998
158.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26559
980.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50983
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20384
754.8 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3627
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1924
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4004
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4350
74.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1719
32.2 IPS |
