Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
1246
Single Precision Score
44
Half Precision Score
894
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A380 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 9950X 16-Core Processor |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
637.0 IPS |
|
|
Image Classification (HP)
|
0% |
0
692.9 IPS |
|
|
Image Classification (Q)
|
0% |
0
528.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (HP)
|
73% |
5568
96.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2765
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25793
30.1 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
50.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
20253
23.7 IPS |
|
|
Object Detection (SP)
|
0% |
0
276.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
312.2 IPS |
|
|
Object Detection (Q)
|
0% |
0
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
6005
71.3 IPS |
|
|
Face Detection (HP)
|
0% |
0
66.2 IPS |
|
|
Face Detection (Q)
|
97% |
4086
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15055
116.0 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
156.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
10519
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55189
70.9 IPS |
|
|
Style Transfer (HP)
|
10% |
605
94.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37963
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9291
343.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9860
364.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5978
221.4 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
586
782.4 IPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (Q)
|
60% |
719
16.0 IPS |
