Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
49617
Single Precision Score
75866
Half Precision Score
35882
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 14 2025 07:45 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E EDGE TI WIFI (MS-7E59) |
| 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% |
17557
3.27 KIPS |
|
|
Image Classification (HP)
|
100% |
23091
4.29 KIPS |
|
|
Image Classification (Q)
|
100% |
14894
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39813
645.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
51969
842.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36691
596.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
394252
460.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
955280
1.11 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316512
370.7 IPS |
|
|
Object Detection (SP)
|
100% |
25976
2.06 KIPS |
|
|
Object Detection (HP)
|
100% |
34339
2.72 KIPS |
|
|
Object Detection (Q)
|
85% |
20991
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
77664
922.8 IPS |
|
|
Face Detection (HP)
|
100% |
108104
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
59889
714.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
105336
811.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
194977
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75711
606.4 IPS |
|
|
Style Transfer (SP)
|
100% |
602448
774.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1807344
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
502121
647.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77418
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104784
3.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54618
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4234
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2432
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7820
134.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7776
133.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3223
60.4 IPS |
