Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
12955
Single Precision Score
20950
Half Precision Score
21801
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 08 2025 09:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Data Center GPU Flex Series 170 (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5892
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
8435
1.57 KIPS |
|
|
Image Classification (Q)
|
100% |
8429
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14458
234.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20302
329.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20705
335.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
63489
74.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
203723
237.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
326177
381.9 IPS |
|
|
Object Detection (SP)
|
100% |
5505
436.7 IPS |
|
|
Object Detection (HP)
|
100% |
10191
808.4 IPS |
|
|
Object Detection (Q)
|
88% |
10321
827.1 IPS |
|
|
Face Detection (SP)
|
100% |
20838
247.6 IPS |
|
|
Face Detection (HP)
|
100% |
27732
329.5 IPS |
|
|
Face Detection (Q)
|
100% |
28774
341.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26098
201.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
54614
420.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
54543
424.0 IPS |
|
|
Style Transfer (SP)
|
100% |
156197
200.8 IPS |
|
|
Style Transfer (HP)
|
100% |
315594
405.7 IPS |
|
|
Style Transfer (Q)
|
98% |
394678
508.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17979
663.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25861
954.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25769
954.3 IPS |
|
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2342
40.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2337
40.3 IPS |
