Mac mini (2024)
Geekbench AI Score
4718
Single Precision Score
37360
Half Precision Score
52190
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 06:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
17710
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
27475
5.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22149
359.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29977
486.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123716
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232570
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
19580
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
25842
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
43825
520.7 IPS |
|
|
Face Detection (Q)
|
100% |
62580
743.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100050
770.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169356
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25319
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233749
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298009
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50190
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83396
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6583
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6374
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16465
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18042
311.8 IPS |
