Mac mini (2024)
Geekbench AI Score
4926
Single Precision Score
36886
Half Precision Score
51848
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 10:18 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
18138
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24990
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21756
352.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30501
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10026
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123156
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232595
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
18198
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26881
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
44306
526.5 IPS |
|
|
Face Detection (Q)
|
100% |
62556
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99685
768.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165693
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24384
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235827
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320362
413.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52468
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86023
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5656
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17182
296.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18235
315.1 IPS |
