Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
12736
Single Precision Score
13803
Half Precision Score
9719
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 15 2025 04:49 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 Insider Preview (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% |
5547
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5392
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
4777
891.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9162
148.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15448
250.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8177
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
76549
89.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
84056
98.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
62950
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
7440
590.1 IPS |
|
|
Object Detection (HP)
|
99% |
7626
606.6 IPS |
|
|
Object Detection (Q)
|
85% |
6148
494.7 IPS |
|
|
Face Detection (SP)
|
100% |
20203
240.1 IPS |
|
|
Face Detection (HP)
|
100% |
19901
236.5 IPS |
|
|
Face Detection (Q)
|
97% |
15542
185.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
29379
226.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
29117
225.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23506
188.2 IPS |
|
|
Style Transfer (SP)
|
100% |
168048
216.0 IPS |
|
|
Style Transfer (HP)
|
100% |
165711
213.0 IPS |
|
|
Style Transfer (Q)
|
98% |
130730
168.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17274
637.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24153
891.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12529
463.9 IPS |
|
|
Text Classification (SP)
|
86% |
806
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
84% |
650
882.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1280
24.0 IPS |
