Acemagic Matrix Mini M1 Default string Default string
Geekbench AI Score
3408
Single Precision Score
3577
Half Precision Score
8238
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Spektr48K |
| Upload Date | November 19 2025 06:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
2139
397.7 IPS |
|
|
Image Classification (Q)
|
100% |
5321
989.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2892
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4879
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4291
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
4284
5.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
15863
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2049
162.5 IPS |
|
|
Object Detection (HP)
|
100% |
2091
165.8 IPS |
|
|
Object Detection (Q)
|
88% |
5389
432.0 IPS |
|
|
Face Detection (SP)
|
100% |
4731
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
12161
144.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5439
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5446
42.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14275
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12897
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12590
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
39487
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2744
101.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8694
322.0 IPS |
|
|
Text Classification (SP)
|
100% |
2126
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
92% |
3503
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3109
53.6 IPS |
