Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
2644
Single Precision Score
3730
Half Precision Score
5816
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Pints |
| Upload Date | January 15 2026 01:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI DDR4 (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
2823
525.0 IPS |
|
|
Image Classification (Q)
|
99% |
4280
798.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4008
65.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4639
75.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4484
5.23 IPS |
|
|
Pose Estimation (HP)
|
99% |
3279
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13431
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
98% |
2486
197.8 IPS |
|
|
Object Detection (Q)
|
90% |
4616
369.1 IPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
7944
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
10614
126.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5192
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8762
67.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
12065
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11861
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16802
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30960
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3441
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7108
263.2 IPS |
|
|
Text Classification (SP)
|
71% |
847
1.22 KIPS |
|
|
Text Classification (HP)
|
71% |
887
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
800
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1587
27.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1597
27.5 IPS |
