Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
13007
Single Precision Score
13518
Half Precision Score
9835
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2026 10:49 PM |
| Views | 4 |
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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI DDR4 (MS-7D99) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5688
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5703
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
4829
900.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9046
146.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14561
236.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7898
128.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
80141
93.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
82109
95.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64875
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
7167
568.5 IPS |
|
|
Object Detection (HP)
|
99% |
7328
582.9 IPS |
|
|
Object Detection (Q)
|
85% |
6090
490.0 IPS |
|
|
Face Detection (SP)
|
100% |
20108
238.9 IPS |
|
|
Face Detection (HP)
|
100% |
20313
241.4 IPS |
|
|
Face Detection (Q)
|
97% |
15462
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30927
238.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
30090
232.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
24396
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
176214
226.5 IPS |
|
|
Style Transfer (HP)
|
100% |
168066
216.1 IPS |
|
|
Style Transfer (Q)
|
98% |
131602
169.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17553
648.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23688
874.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12831
475.1 IPS |
|
|
Text Classification (SP)
|
86% |
854
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
666
889.1 IPS |
|
|
Text Classification (Q)
|
84% |
647
878.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2857
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1364
25.6 IPS |
