Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
11453
Single Precision Score
12116
Half Precision Score
8379
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erdomust |
| Upload Date | March 25 2025 08:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5126
953.3 IPS |
|
|
Image Classification (HP)
|
100% |
5114
951.0 IPS |
|
|
Image Classification (Q)
|
99% |
4171
778.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7819
126.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13579
220.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6452
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71644
83.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
75354
87.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57276
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
6525
517.6 IPS |
|
|
Object Detection (HP)
|
99% |
6883
547.5 IPS |
|
|
Object Detection (Q)
|
85% |
5327
428.6 IPS |
|
|
Face Detection (SP)
|
100% |
16650
197.8 IPS |
|
|
Face Detection (HP)
|
100% |
17834
211.9 IPS |
|
|
Face Detection (Q)
|
97% |
12981
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26592
204.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
27043
209.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
20769
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
157781
202.8 IPS |
|
|
Style Transfer (HP)
|
100% |
140198
180.2 IPS |
|
|
Style Transfer (Q)
|
98% |
113192
146.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15386
568.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21290
786.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10435
386.4 IPS |
|
|
Text Classification (SP)
|
86% |
746
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
602
803.3 IPS |
|
|
Text Classification (Q)
|
84% |
548
744.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1191
22.3 IPS |
