Micro-Star International Co., Ltd. MS-7E57
Geekbench AI Score
7714
Single Precision Score
2886
Half Precision Score
9557
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | June 12 2025 09:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E57 |
| Motherboard | Micro-Star International Co., Ltd. B840 GAMING PLUS WIFI (MS-7E57) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7133
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
1067
198.3 IPS |
|
|
Image Classification (Q)
|
99% |
13383
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3668
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11432
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
43304
50.8 IPS |
|
|
Object Detection (SP)
|
100% |
6644
527.0 IPS |
|
|
Object Detection (HP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (Q)
|
86% |
8679
697.5 IPS |
|
|
Face Detection (SP)
|
100% |
10903
129.5 IPS |
|
|
Face Detection (HP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (Q)
|
97% |
13947
166.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17592
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3933
30.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
28110
224.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29110
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22233
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38263
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5602
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3943
145.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6682
247.4 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (Q)
|
97% |
635
850.8 IPS |
|
|
Machine Translation (SP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5418
108.9 IPS |
