Micro-Star International Co., Ltd. MS-7D26
Geekbench AI Score
14233
Single Precision Score
24485
Half Precision Score
25283
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 17 2025 05:17 PM |
| Views | 5 |
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% |
5825
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
9585
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
9622
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15312
248.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22670
367.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23354
378.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
79027
92.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
232571
271.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
360620
422.2 IPS |
|
|
Object Detection (SP)
|
100% |
5566
441.5 IPS |
|
|
Object Detection (HP)
|
100% |
11481
910.7 IPS |
|
|
Object Detection (Q)
|
88% |
10578
847.7 IPS |
|
|
Face Detection (SP)
|
100% |
22682
269.5 IPS |
|
|
Face Detection (HP)
|
100% |
33202
394.5 IPS |
|
|
Face Detection (Q)
|
100% |
34352
408.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26615
205.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
64449
496.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
65114
506.2 IPS |
|
|
Style Transfer (SP)
|
100% |
203118
261.1 IPS |
|
|
Style Transfer (HP)
|
100% |
380246
488.8 IPS |
|
|
Style Transfer (Q)
|
98% |
463739
598.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19228
710.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30617
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30243
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1891
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1382
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1878
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2834
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2873
49.5 IPS |
