Acemagic Matrix Mini M1 Default string Default string
Geekbench AI Score
2733
Single Precision Score
1114
Half Precision Score
5177
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | November 19 2025 06:33 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HK |
| 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% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
99% |
4142
772.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6148
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4627
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
15451
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
1982
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
4397
353.4 IPS |
|
|
Face Detection (SP)
|
100% |
4366
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
1173
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6224
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5872
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1560
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10374
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10560
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7203
9.26 IPS |
|
|
Style Transfer (Q)
|
98% |
14116
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3652
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.2 IPS |
|
|
Text Classification (Q)
|
97% |
1111
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2164
43.5 IPS |
