Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
45943
Single Precision Score
67306
Half Precision Score
33473
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 22 2025 06:05 PM |
| Views | 21 |
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-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| 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% |
17270
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
21544
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
14198
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29843
483.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
37384
606.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
28953
470.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
394137
459.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
896450
1.05 KIPS |
|
|
Pose Estimation (Q)
|
94% |
307999
361.2 IPS |
|
|
Object Detection (SP)
|
100% |
24703
1.96 KIPS |
|
|
Object Detection (HP)
|
100% |
31293
2.48 KIPS |
|
|
Object Detection (Q)
|
89% |
18988
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
65105
773.6 IPS |
|
|
Face Detection (HP)
|
100% |
84746
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52438
625.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
107949
831.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
187060
1.44 KIPS |
|
|
Depth Estimation (Q)
|
76% |
76037
612.9 IPS |
|
|
Style Transfer (SP)
|
100% |
620790
798.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1747618
2.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
524451
676.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76243
2.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99445
3.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54442
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2508
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6267
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6284
108.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2573
57.4 IPS |
