Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
14831
Single Precision Score
24687
Half Precision Score
26240
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2026 10:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| 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% |
6249
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
9501
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
9637
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18785
304.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28351
459.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
29576
479.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
67907
79.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
195867
228.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
342582
401.1 IPS |
|
|
Object Detection (SP)
|
100% |
5680
450.6 IPS |
|
|
Object Detection (HP)
|
100% |
12868
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
13123
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
27718
329.3 IPS |
|
|
Face Detection (HP)
|
100% |
41632
494.7 IPS |
|
|
Face Detection (Q)
|
100% |
42280
502.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26655
205.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43253
333.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
41269
320.8 IPS |
|
|
Style Transfer (SP)
|
100% |
182322
234.4 IPS |
|
|
Style Transfer (HP)
|
100% |
326681
420.0 IPS |
|
|
Style Transfer (Q)
|
98% |
441139
568.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19149
707.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32737
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36494
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1859
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1247
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2226
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3460
59.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3448
59.4 IPS |
