Mac mini (2024)
Geekbench AI Score
4713
Single Precision Score
35956
Half Precision Score
50904
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | September 21 2025 03:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1954
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
17128
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
23591
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22308
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30535
495.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9620
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123319
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230819
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
18022
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26066
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3973
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
43038
511.4 IPS |
|
|
Face Detection (Q)
|
100% |
61634
732.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8238
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98391
758.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
163654
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22458
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233707
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
323717
417.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51681
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83883
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3272
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5683
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
14636
252.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17320
299.3 IPS |
