Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
5335
Single Precision Score
1648
Half Precision Score
9164
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Pints |
| Upload Date | January 15 2026 01:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
4748
882.9 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.6 IPS |
|
|
Image Classification (Q)
|
99% |
7104
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2230
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12696
206.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11018
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4547
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
33572
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
3826
303.4 IPS |
|
|
Object Detection (HP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (Q)
|
86% |
8197
658.8 IPS |
|
|
Face Detection (SP)
|
100% |
11233
133.5 IPS |
|
|
Face Detection (HP)
|
100% |
1847
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
12074
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11540
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2061
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
18897
150.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24122
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11431
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19329
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6448
238.8 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
684
912.3 IPS |
|
|
Text Classification (Q)
|
97% |
1582
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3744
75.2 IPS |
