Mac mini (2024)
Geekbench AI Score
9924
Single Precision Score
12099
Half Precision Score
10908
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | zero |
| Upload Date | January 09 2026 02:55 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4756
884.5 IPS |
|
|
Image Classification (HP)
|
100% |
5146
957.0 IPS |
|
|
Image Classification (Q)
|
96% |
4641
866.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7572
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8051
130.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7907
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28887
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33056
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32181
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4895
388.2 IPS |
|
|
Object Detection (HP)
|
100% |
5380
426.7 IPS |
|
|
Object Detection (Q)
|
92% |
5030
401.5 IPS |
|
|
Face Detection (SP)
|
100% |
12901
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
17425
207.0 IPS |
|
|
Face Detection (Q)
|
100% |
13905
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21009
161.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23594
181.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21314
166.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59899
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72303
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69997
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12050
444.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12416
458.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10737
396.5 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2865
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3097
53.5 IPS |
