Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
37671
Single Precision Score
62781
Half Precision Score
28741
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 25 2025 07:05 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15120
2.81 KIPS |
|
|
Image Classification (HP)
|
100% |
22433
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
13226
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24919
403.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34430
558.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23730
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
243175
283.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
718802
838.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
205381
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
20903
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
31782
2.52 KIPS |
|
|
Object Detection (Q)
|
86% |
17931
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
56350
669.6 IPS |
|
|
Face Detection (HP)
|
100% |
81806
972.0 IPS |
|
|
Face Detection (Q)
|
97% |
46792
557.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
95731
737.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
182116
1.40 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70939
566.5 IPS |
|
|
Style Transfer (SP)
|
100% |
352851
453.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1199369
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
309616
399.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59471
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90493
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44220
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4163
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5122
6.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2441
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6378
109.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6510
112.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3000
56.3 IPS |
