Mac mini (2024)
Geekbench AI Score
4680
Single Precision Score
37299
Half Precision Score
53471
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | February 06 2025 05:37 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
18125
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26017
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21885
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30098
487.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123628
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232852
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
19244
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26395
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
44161
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
63645
756.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99930
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171090
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25267
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235557
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300842
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50235
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86806
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
7699
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16324
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18136
313.4 IPS |
