Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
6509
Single Precision Score
6538
Half Precision Score
13600
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | July 27 2025 11:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900T |
| System Information | |
|---|---|
| Operating System | SUSE Linux Enterprise Desktop 15 SP7 |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3941
732.8 IPS |
|
|
Image Classification (HP)
|
100% |
3942
733.1 IPS |
|
|
Image Classification (Q)
|
100% |
8246
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5470
88.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5435
88.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9378
152.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8304
9.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
8245
9.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
27542
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
3814
302.5 IPS |
|
|
Object Detection (HP)
|
100% |
3805
301.8 IPS |
|
|
Object Detection (Q)
|
88% |
9006
721.9 IPS |
|
|
Face Detection (SP)
|
100% |
11621
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
12832
152.5 IPS |
|
|
Face Detection (Q)
|
100% |
20982
249.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10151
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10152
78.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24164
187.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24090
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23274
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
76235
98.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5247
193.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14073
521.2 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2836
3.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4399
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4791
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4707
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4718
81.3 IPS |
