Mac mini (2024)
Geekbench AI Score
9957
Single Precision Score
11502
Half Precision Score
10800
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 07:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4747
882.7 IPS |
|
|
Image Classification (HP)
|
100% |
5039
937.1 IPS |
|
|
Image Classification (Q)
|
96% |
4678
873.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7575
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8185
132.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7910
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29703
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31763
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31395
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4806
381.2 IPS |
|
|
Object Detection (HP)
|
100% |
5421
430.0 IPS |
|
|
Object Detection (Q)
|
92% |
4975
397.1 IPS |
|
|
Face Detection (SP)
|
100% |
12815
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16032
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
13369
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21591
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23181
178.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21555
168.4 IPS |
|
|
Style Transfer (SP)
|
100% |
60547
77.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71064
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
69004
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12389
457.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12244
452.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11014
406.7 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3008
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3174
54.8 IPS |
