Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
14190
Single Precision Score
24220
Half Precision Score
25255
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 17 2025 05:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 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% |
5833
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9510
1.77 KIPS |
|
|
Image Classification (Q)
|
100% |
9484
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15139
245.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22951
372.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23008
373.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
78702
91.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
231103
269.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
353303
413.6 IPS |
|
|
Object Detection (SP)
|
100% |
5515
437.4 IPS |
|
|
Object Detection (HP)
|
100% |
11485
911.0 IPS |
|
|
Object Detection (Q)
|
88% |
11542
925.0 IPS |
|
|
Face Detection (SP)
|
100% |
23364
277.6 IPS |
|
|
Face Detection (HP)
|
100% |
30530
362.8 IPS |
|
|
Face Detection (Q)
|
100% |
32846
390.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
25361
195.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
61772
475.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
63289
492.0 IPS |
|
|
Style Transfer (SP)
|
100% |
203378
261.4 IPS |
|
|
Style Transfer (HP)
|
100% |
380359
489.0 IPS |
|
|
Style Transfer (Q)
|
98% |
463761
598.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19220
709.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30662
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30724
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
1971
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2868
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2871
49.4 IPS |
