Mac mini (2024)
Geekbench AI Score
4514
Single Precision Score
7578
Half Precision Score
6115
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 08:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
3275
609.0 IPS |
|
|
Image Classification (Q)
|
96% |
2249
420.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2034
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3108
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8980
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18870
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16024
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3688
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3854
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
6966
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
4194
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8119
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14204
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9845
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18183
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37457
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30371
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6947
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4934
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5248
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5289
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6528
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6534
112.9 IPS |
