Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
38860
Single Precision Score
65916
Half Precision Score
29166
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 06:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E16 |
| Motherboard | Micro-Star International Co., Ltd. X670E GAMING PLUS WIFI (MS-7E16) |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15007
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
21824
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
13211
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30518
494.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
45476
737.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27609
448.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
240837
281.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
765778
893.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
204815
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
20537
1.63 KIPS |
|
|
Object Detection (HP)
|
100% |
32217
2.56 KIPS |
|
|
Object Detection (Q)
|
86% |
17455
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
60443
718.2 IPS |
|
|
Face Detection (HP)
|
100% |
90292
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
48817
582.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
92441
712.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
177398
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68224
544.8 IPS |
|
|
Style Transfer (SP)
|
100% |
354895
456.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1187360
1.53 KIPS |
|
|
Style Transfer (Q)
|
98% |
305024
393.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57826
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89624
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43370
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2398
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7762
133.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7740
133.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3234
60.7 IPS |
