Mac mini (2024)
Geekbench AI Score
4935
Single Precision Score
36760
Half Precision Score
52155
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ServicioIT |
| Upload Date | February 04 2026 12:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2090
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
17951
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
27767
5.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22204
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29798
483.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10108
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123090
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233307
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17874
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26384
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43532
517.3 IPS |
|
|
Face Detection (Q)
|
100% |
62790
746.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8482
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100117
771.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161798
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24540
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234564
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321237
414.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54649
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85270
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16468
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18954
327.5 IPS |
