Micro-Star International Co., Ltd. MS-7E57
Geekbench AI Score
11103
Single Precision Score
11111
Half Precision Score
30397
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | June 12 2025 09:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
7329
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7455
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
19561
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8063
130.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7709
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21563
349.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14183
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14470
16.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
59546
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
6688
530.5 IPS |
|
|
Object Detection (HP)
|
100% |
6768
536.9 IPS |
|
|
Object Detection (Q)
|
88% |
20293
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
13404
159.3 IPS |
|
|
Face Detection (HP)
|
100% |
12857
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
48554
576.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16923
130.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17234
132.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
52527
408.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38985
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39741
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
150091
193.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8995
332.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9014
332.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28761
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
6313
8.43 KIPS |
|
|
Text Classification (HP)
|
100% |
6493
8.67 KIPS |
|
|
Text Classification (Q)
|
92% |
9243
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
10118
174.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9887
170.3 IPS |
|
|
Machine Translation (Q)
|
100% |
12988
223.7 IPS |
