Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
43633
Single Precision Score
73862
Half Precision Score
32552
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | October 09 2025 12:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 | Storage Benchmark Power Scheme based on Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16843
3.13 KIPS |
|
|
Image Classification (HP)
|
100% |
25003
4.65 KIPS |
|
|
Image Classification (Q)
|
100% |
14700
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34278
555.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
50849
824.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
30962
503.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
268931
313.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
861310
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
229464
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
23063
1.83 KIPS |
|
|
Object Detection (HP)
|
100% |
35467
2.81 KIPS |
|
|
Object Detection (Q)
|
86% |
19721
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
67605
803.3 IPS |
|
|
Face Detection (HP)
|
100% |
99685
1.18 KIPS |
|
|
Face Detection (Q)
|
97% |
54206
646.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
103710
799.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
193024
1.49 KIPS |
|
|
Depth Estimation (Q)
|
78% |
76085
607.6 IPS |
|
|
Style Transfer (SP)
|
100% |
403368
518.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1316375
1.69 KIPS |
|
|
Style Transfer (Q)
|
98% |
345849
446.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65510
2.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101647
3.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48926
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
4391
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2706
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
8587
147.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8683
149.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3435
64.4 IPS |
