Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
12733
Single Precision Score
13471
Half Precision Score
9639
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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% |
5549
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5471
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4690
874.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8675
140.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14649
237.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7675
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
81770
95.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
82497
96.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65114
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
7119
564.7 IPS |
|
|
Object Detection (HP)
|
99% |
7356
585.1 IPS |
|
|
Object Detection (Q)
|
85% |
6097
490.6 IPS |
|
|
Face Detection (SP)
|
100% |
19763
234.8 IPS |
|
|
Face Detection (HP)
|
100% |
19968
237.3 IPS |
|
|
Face Detection (Q)
|
97% |
15461
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30203
232.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
29909
231.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
23961
191.8 IPS |
|
|
Style Transfer (SP)
|
100% |
174877
224.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164795
211.8 IPS |
|
|
Style Transfer (Q)
|
98% |
129859
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17483
645.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23379
863.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12776
473.1 IPS |
|
|
Text Classification (SP)
|
86% |
812
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
716
956.3 IPS |
|
|
Text Classification (Q)
|
84% |
622
844.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1268
23.8 IPS |
