Mac mini (2024)
Geekbench AI Score
10252
Single Precision Score
12108
Half Precision Score
11299
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 10 2025 11:19 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4954
921.2 IPS |
|
|
Image Classification (HP)
|
100% |
5332
991.7 IPS |
|
|
Image Classification (Q)
|
96% |
4981
930.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7554
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8217
133.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8004
129.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30158
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32279
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31348
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
5141
407.8 IPS |
|
|
Object Detection (HP)
|
100% |
5695
451.7 IPS |
|
|
Object Detection (Q)
|
92% |
5140
410.3 IPS |
|
|
Face Detection (SP)
|
100% |
11703
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
15639
185.8 IPS |
|
|
Face Detection (Q)
|
100% |
13358
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21906
168.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24304
187.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22307
174.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59986
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72766
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
69661
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13167
486.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14281
527.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12134
448.0 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5352
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3918
67.7 IPS |
