Mac mini (2024)
Geekbench AI Score
9822
Single Precision Score
11562
Half Precision Score
10891
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | teotwawk |
| Upload Date | November 14 2025 04:41 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4748
883.1 IPS |
|
|
Image Classification (HP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (Q)
|
96% |
4848
905.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7572
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8130
131.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7902
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29546
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31722
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31410
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4807
381.3 IPS |
|
|
Object Detection (HP)
|
100% |
5415
429.5 IPS |
|
|
Object Detection (Q)
|
92% |
4941
394.4 IPS |
|
|
Face Detection (SP)
|
100% |
12804
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
16995
201.9 IPS |
|
|
Face Detection (Q)
|
100% |
13809
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21518
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23161
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
21440
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58889
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
70927
91.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69015
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12376
457.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12279
453.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11022
407.0 IPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5495
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3194
55.2 IPS |
