Mac mini (2024)
Geekbench AI Score
4964
Single Precision Score
8059
Half Precision Score
6464
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 3dworks |
| Upload Date | September 17 2025 08:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
2122
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3319
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3556
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10061
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19398
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16746
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2752
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7892
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4529
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14022
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9951
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24499
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39492
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32370
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4937
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8130
140.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8151
140.9 IPS |
