Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
45970
Single Precision Score
69051
Half Precision Score
33932
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 02 2025 03:49 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15695
2.92 KIPS |
|
|
Image Classification (HP)
|
100% |
20041
3.73 KIPS |
|
|
Image Classification (Q)
|
100% |
13690
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38011
616.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
49710
805.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
35357
574.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
401691
468.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
957639
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
318447
373.0 IPS |
|
|
Object Detection (SP)
|
100% |
23019
1.83 KIPS |
|
|
Object Detection (HP)
|
100% |
29581
2.35 KIPS |
|
|
Object Detection (Q)
|
85% |
19116
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
73318
871.2 IPS |
|
|
Face Detection (HP)
|
100% |
98585
1.17 KIPS |
|
|
Face Detection (Q)
|
97% |
58351
695.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
104438
804.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
180350
1.39 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76443
612.3 IPS |
|
|
Style Transfer (SP)
|
100% |
591981
761.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1711925
2.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
500550
645.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68617
2.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93974
3.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49539
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4285
5.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2133
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
7009
120.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7125
122.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2911
54.6 IPS |
