Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
39157
Single Precision Score
53711
Half Precision Score
29703
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | February 08 2025 09:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 | High performance |
| 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% |
14294
2.66 KIPS |
|
|
Image Classification (HP)
|
99% |
18754
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
12251
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22978
372.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28683
465.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21845
355.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
317695
370.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
543370
634.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
274549
321.7 IPS |
|
|
Object Detection (SP)
|
100% |
20194
1.60 KIPS |
|
|
Object Detection (HP)
|
100% |
26304
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
16840
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
55056
654.2 IPS |
|
|
Face Detection (HP)
|
100% |
69353
824.1 IPS |
|
|
Face Detection (Q)
|
97% |
46817
558.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
100306
772.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
159658
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73130
584.9 IPS |
|
|
Style Transfer (SP)
|
100% |
579553
745.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1117799
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
490068
631.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61609
2.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83618
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45792
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
4693
6.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2197
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5448
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2560
48.0 IPS |
