Micro-Star International Co., Ltd. MS-7E16
Geekbench AI Score
7767
Single Precision Score
15054
Half Precision Score
17680
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A380 Graphics (dGPU) |
| 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)
|
100% |
4152
772.2 IPS |
|
|
Image Classification (HP)
|
100% |
7717
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
8025
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6297
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10654
172.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12918
209.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23948
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
83811
97.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
151578
177.5 IPS |
|
|
Object Detection (SP)
|
100% |
3744
297.0 IPS |
|
|
Object Detection (HP)
|
100% |
8581
680.6 IPS |
|
|
Object Detection (Q)
|
88% |
9674
775.2 IPS |
|
|
Face Detection (SP)
|
100% |
12001
142.6 IPS |
|
|
Face Detection (HP)
|
100% |
20695
245.9 IPS |
|
|
Face Detection (Q)
|
100% |
23994
285.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17260
133.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38119
293.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
44856
348.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61297
78.8 IPS |
|
|
Style Transfer (HP)
|
100% |
136110
175.0 IPS |
|
|
Style Transfer (Q)
|
98% |
195897
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9034
333.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19528
721.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21117
782.0 IPS |
|
|
Text Classification (SP)
|
100% |
1723
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1646
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2696
46.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2679
46.2 IPS |
