Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
36590
Single Precision Score
62864
Half Precision Score
27752
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:43 PM |
| Views | 2 |
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-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14501
2.70 KIPS |
|
|
Image Classification (HP)
|
100% |
21080
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12626
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28949
469.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
43282
701.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
26343
428.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
228573
266.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
718260
838.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
195641
229.2 IPS |
|
|
Object Detection (SP)
|
100% |
18600
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
29354
2.33 KIPS |
|
|
Object Detection (Q)
|
86% |
16402
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
57352
681.5 IPS |
|
|
Face Detection (HP)
|
100% |
84825
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
44920
535.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
86388
665.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
163530
1.26 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64544
515.4 IPS |
|
|
Style Transfer (SP)
|
100% |
331676
426.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1124960
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
291360
375.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51003
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86146
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40269
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2359
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7640
131.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7573
130.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3164
59.3 IPS |
