Mac mini (2024)
Geekbench AI Score
4915
Single Precision Score
8020
Half Precision Score
6394
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 10:12 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.4 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3482
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19448
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16626
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.0 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7617
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4369
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8444
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13933
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9857
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24311
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38490
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31713
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7251
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5876
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8004
138.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7938
137.2 IPS |
