Micro-Star International Co., Ltd. MS-7D89
Geekbench AI Score
6439
Single Precision Score
1893
Half Precision Score
9620
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | October 08 2025 03:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D89 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 CARBON WIFI II (MS-7D89) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| 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% |
5156
958.8 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.8 IPS |
|
|
Image Classification (Q)
|
99% |
8123
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4653
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12745
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5368
6.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
38168
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
4978
394.8 IPS |
|
|
Object Detection (HP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (Q)
|
86% |
8986
722.2 IPS |
|
|
Face Detection (SP)
|
100% |
13752
163.4 IPS |
|
|
Face Detection (HP)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
13473
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14829
114.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2468
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20954
167.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28247
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13441
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32343
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4527
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6269
232.1 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1965
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2742
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4658
93.6 IPS |
