Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
36195
Single Precision Score
59265
Half Precision Score
26776
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | rolkit |
| Upload Date | June 29 2025 06:27 PM |
| 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% |
14512
2.70 KIPS |
|
|
Image Classification (HP)
|
100% |
21190
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
12192
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24604
398.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34180
554.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23263
378.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
237387
277.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
709466
827.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
201534
236.4 IPS |
|
|
Object Detection (SP)
|
100% |
19151
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
29367
2.33 KIPS |
|
|
Object Detection (Q)
|
89% |
15659
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
51263
609.1 IPS |
|
|
Face Detection (HP)
|
100% |
68892
818.6 IPS |
|
|
Face Detection (Q)
|
97% |
41040
489.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
90484
697.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
158422
1.22 KIPS |
|
|
Depth Estimation (Q)
|
76% |
64786
520.8 IPS |
|
|
Style Transfer (SP)
|
100% |
353420
454.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1150908
1.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
307886
397.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57818
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89535
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42756
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3971
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4953
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2381
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6318
108.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6360
109.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2540
56.7 IPS |
