Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
8336
Single Precision Score
16193
Half Precision Score
18564
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 15 2025 11:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A380 Graphics (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% |
4308
801.1 IPS |
|
|
Image Classification (HP)
|
100% |
7953
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
8728
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7012
113.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13369
216.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16099
261.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28230
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
102298
119.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
177945
208.3 IPS |
|
|
Object Detection (SP)
|
100% |
3908
310.0 IPS |
|
|
Object Detection (HP)
|
100% |
9408
746.3 IPS |
|
|
Object Detection (Q)
|
88% |
10321
827.1 IPS |
|
|
Face Detection (SP)
|
100% |
12060
143.3 IPS |
|
|
Face Detection (HP)
|
100% |
20750
246.6 IPS |
|
|
Face Detection (Q)
|
100% |
23356
277.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18688
144.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42306
325.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
47592
369.9 IPS |
|
|
Style Transfer (SP)
|
100% |
67475
86.7 IPS |
|
|
Style Transfer (HP)
|
100% |
153274
197.0 IPS |
|
|
Style Transfer (Q)
|
98% |
220315
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9722
359.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20122
743.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22369
828.4 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1332
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2582
44.5 IPS |
