Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
39273
Single Precision Score
67116
Half Precision Score
29246
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rolkit |
| Upload Date | June 30 2025 07:17 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| 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% |
15312
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
22949
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
13195
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30840
499.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
46688
756.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
28173
458.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
241875
282.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
746234
870.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
205428
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
20699
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
32762
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
17493
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
61463
730.3 IPS |
|
|
Face Detection (HP)
|
100% |
93423
1.11 KIPS |
|
|
Face Detection (Q)
|
97% |
49115
585.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
92413
712.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
178121
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67124
536.0 IPS |
|
|
Style Transfer (SP)
|
100% |
357239
459.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1190832
1.53 KIPS |
|
|
Style Transfer (Q)
|
98% |
309542
399.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59222
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92637
3.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43404
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4955
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2383
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
7786
134.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7785
134.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3247
60.9 IPS |
