Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
7787
Single Precision Score
15299
Half Precision Score
17605
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 16 2025 12:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro A40/A50 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% |
4240
788.6 IPS |
|
|
Image Classification (HP)
|
100% |
7706
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
8553
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6940
112.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12481
202.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15333
248.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21844
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
88647
103.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
158241
185.3 IPS |
|
|
Object Detection (SP)
|
100% |
3833
304.0 IPS |
|
|
Object Detection (HP)
|
100% |
8966
711.2 IPS |
|
|
Object Detection (Q)
|
88% |
9766
782.6 IPS |
|
|
Face Detection (SP)
|
100% |
12073
143.5 IPS |
|
|
Face Detection (HP)
|
100% |
20520
243.8 IPS |
|
|
Face Detection (Q)
|
100% |
22772
270.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17956
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
38500
296.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
44641
347.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55059
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
138572
178.1 IPS |
|
|
Style Transfer (Q)
|
98% |
198443
255.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8667
320.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19293
712.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21358
791.0 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1331
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1739
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2461
42.4 IPS |
