Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
6576
Single Precision Score
9186
Half Precision Score
5087
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | February 13 2025 04:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO A620M-E (MS-7E28) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (HP)
|
100% |
3802
707.1 IPS |
|
|
Image Classification (Q)
|
100% |
2283
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3614
58.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2843
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34628
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59088
68.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
24909
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
3095
245.5 IPS |
|
|
Object Detection (Q)
|
87% |
2051
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
5357
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
9291
110.4 IPS |
|
|
Face Detection (Q)
|
97% |
4416
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13833
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19853
153.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11730
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53329
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86748
111.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38760
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10196
376.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16429
606.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7132
264.1 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1684
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2610
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1452
27.2 IPS |
