Acemagic Matrix Mini M1 Default string Default string
Geekbench AI Score
2810
Single Precision Score
2933
Half Precision Score
1767
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | November 19 2025 06:28 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (Q)
|
100% |
1028
191.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1379
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10225
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11623
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5494
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
98% |
1246
99.1 IPS |
|
|
Object Detection (Q)
|
86% |
1134
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
1873
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5551
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6269
48.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3908
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23439
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30417
39.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14910
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3391
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4586
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1412
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
406
541.8 IPS |
|
|
Text Classification (Q)
|
97% |
479
642.0 IPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (Q)
|
70% |
457
8.57 IPS |
