Mac mini M4 26.1 Mac mini (2024)
Geekbench AI Score
4974
Single Precision Score
36833
Half Precision Score
51433
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wyw26 |
| Upload Date | November 24 2025 12:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (HP)
|
100% |
17989
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
23907
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22486
364.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31067
503.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10032
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123396
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233325
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
18227
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26685
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
44156
524.7 IPS |
|
|
Face Detection (Q)
|
100% |
62394
741.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99820
769.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160647
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24497
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234693
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
322854
416.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6075
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52001
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84896
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5674
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16552
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18257
315.5 IPS |
