Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
5614
Single Precision Score
5626
Half Precision Score
15013
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Pints |
| Upload Date | January 15 2026 01:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| 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% |
3590
667.7 IPS |
|
|
Image Classification (HP)
|
100% |
3566
663.2 IPS |
|
|
Image Classification (Q)
|
100% |
9933
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4859
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4881
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10761
174.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9319
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9339
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32919
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
2873
227.9 IPS |
|
|
Object Detection (HP)
|
100% |
2873
227.9 IPS |
|
|
Object Detection (Q)
|
88% |
10748
861.6 IPS |
|
|
Face Detection (SP)
|
100% |
9452
112.3 IPS |
|
|
Face Detection (HP)
|
100% |
9656
114.7 IPS |
|
|
Face Detection (Q)
|
100% |
25073
297.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8037
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8124
62.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
28524
221.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24037
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24630
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91947
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4799
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17492
647.8 IPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
5210
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2658
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2524
43.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2568
44.2 IPS |
