Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
50638
Single Precision Score
76924
Half Precision Score
36857
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 07:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18259
3.40 KIPS |
|
|
Image Classification (HP)
|
100% |
24052
4.47 KIPS |
|
|
Image Classification (Q)
|
100% |
15584
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39979
648.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
52574
852.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
36844
599.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
406622
474.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
965733
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
317266
371.6 IPS |
|
|
Object Detection (SP)
|
100% |
26153
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
35104
2.78 KIPS |
|
|
Object Detection (Q)
|
85% |
21054
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
78940
938.0 IPS |
|
|
Face Detection (HP)
|
100% |
108963
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
62780
748.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
111515
859.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
199543
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79654
638.0 IPS |
|
|
Style Transfer (SP)
|
100% |
636193
817.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1837744
2.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
533628
688.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77740
2.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104219
3.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54986
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4274
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5220
6.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2497
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7675
132.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7786
134.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3292
61.7 IPS |
