Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
3223
Single Precision Score
3997
Half Precision Score
5640
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 17 2025 04:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Server GPU SG-18M (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D26 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 GODLIKE (MS-7D26) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1928
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
2472
459.6 IPS |
|
|
Image Classification (Q)
|
99% |
2959
552.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8413
9.82 IPS |
|
|
Pose Estimation (HP)
|
99% |
6139
7.16 IPS |
|
|
Pose Estimation (Q)
|
97% |
24608
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
99% |
2506
199.3 IPS |
|
|
Object Detection (Q)
|
90% |
3534
282.6 IPS |
|
|
Face Detection (SP)
|
100% |
4881
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
8812
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8020
61.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11844
91.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
15468
120.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21055
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28480
36.6 IPS |
|
|
Style Transfer (Q)
|
98% |
51609
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3333
123.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7750
287.0 IPS |
|
|
Text Classification (SP)
|
71% |
870
1.26 KIPS |
|
|
Text Classification (HP)
|
71% |
1061
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
710
12.2 IPS |
|
|
Machine Translation (HP)
|
97% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
754
13.0 IPS |
