Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
1796
Single Precision Score
1841
Half Precision Score
1212
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Pints |
| Upload Date | January 15 2026 01:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
789
146.8 IPS |
|
|
Image Classification (HP)
|
100% |
801
148.9 IPS |
|
|
Image Classification (Q)
|
100% |
664
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
822
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5490
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
6099
7.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
3733
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
856
67.9 IPS |
|
|
Object Detection (HP)
|
98% |
739
58.8 IPS |
|
|
Object Detection (Q)
|
86% |
720
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
1281
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3245
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3581
27.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2407
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11427
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15355
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8491
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
995
36.8 IPS |
|
|
Text Classification (SP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.1 IPS |
|
|
Text Classification (Q)
|
97% |
444
594.4 IPS |
|
|
Machine Translation (SP)
|
100% |
769
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
70% |
404
7.58 IPS |
