Mac mini (2024)
Geekbench AI Score
4833
Single Precision Score
7913
Half Precision Score
6377
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maczydeko |
| Upload Date | May 18 2025 04:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3203
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3645
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9899
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19240
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16584
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2722
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4355
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7820
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4515
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8668
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14739
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10296
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21511
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38291
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31825
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7110
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7155
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7222
124.8 IPS |
