Mac mini (2024)
Geekbench AI Score
4973
Single Precision Score
7986
Half Precision Score
6449
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Kiwiguy1967 |
| Upload Date | December 22 2025 12:47 AM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2114
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3563
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10032
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19449
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16739
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7798
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4508
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14162
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10039
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24468
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39053
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32084
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7267
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4885
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5794
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5668
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7265
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8059
139.3 IPS |
