Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
38689
Single Precision Score
66834
Half Precision Score
28762
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 12:37 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15075
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22429
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
13103
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30369
492.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
46046
746.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
27425
445.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
233661
272.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
750843
876.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
198875
233.0 IPS |
|
|
Object Detection (SP)
|
100% |
20551
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
32963
2.61 KIPS |
|
|
Object Detection (Q)
|
86% |
17423
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
60090
714.0 IPS |
|
|
Face Detection (HP)
|
100% |
91408
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
48473
578.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
90202
695.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
175623
1.35 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66494
531.0 IPS |
|
|
Style Transfer (SP)
|
100% |
345747
444.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1161130
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
297968
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57585
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91760
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42168
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7908
136.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7912
136.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3201
60.0 IPS |
