Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
40420
Single Precision Score
57192
Half Precision Score
30602
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MrFox |
| Upload Date | December 10 2024 06:43 AM |
| Views | 47 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14939
2.78 KIPS |
|
|
Image Classification (HP)
|
99% |
20153
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
12694
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24247
393.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
30710
497.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
23191
377.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
305632
356.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
579107
675.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
263999
309.3 IPS |
|
|
Object Detection (SP)
|
100% |
21432
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
28998
2.30 KIPS |
|
|
Object Detection (Q)
|
86% |
17683
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
60657
720.7 IPS |
|
|
Face Detection (HP)
|
100% |
78488
932.6 IPS |
|
|
Face Detection (Q)
|
97% |
51181
610.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
100464
774.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
174502
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73711
589.5 IPS |
|
|
Style Transfer (SP)
|
100% |
584715
751.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1172082
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
500121
644.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64286
2.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86291
3.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46588
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
4580
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5734
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5679
97.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2683
50.3 IPS |
