Mac mini (2024)
Geekbench AI Score
4851
Single Precision Score
36889
Half Precision Score
52306
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BirdsLikeWires |
| Upload Date | September 09 2025 11:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.4 IPS |
|
|
Image Classification (HP)
|
100% |
17430
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25663
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22055
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30189
489.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10012
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122868
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233054
273.2 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
18684
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26663
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4353
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
44700
531.1 IPS |
|
|
Face Detection (Q)
|
100% |
63471
754.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8757
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99301
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167510
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21914
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233505
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300248
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49973
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84392
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6450
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16624
286.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18327
316.7 IPS |
