Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
36599
Single Precision Score
53042
Half Precision Score
27894
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13015
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
17923
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10979
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28134
456.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36196
586.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
25319
411.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
306158
357.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
552599
644.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
263381
308.6 IPS |
|
|
Object Detection (SP)
|
100% |
17595
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
24194
1.92 KIPS |
|
|
Object Detection (Q)
|
86% |
15157
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
56712
673.9 IPS |
|
|
Face Detection (HP)
|
100% |
75693
899.4 IPS |
|
|
Face Detection (Q)
|
97% |
46484
554.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
94298
726.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
153775
1.18 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66208
529.5 IPS |
|
|
Style Transfer (SP)
|
100% |
514636
661.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1075069
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
441347
569.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53435
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80017
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40331
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3710
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1899
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4996
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5472
94.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2471
46.3 IPS |
