Mac mini (2024)
Geekbench AI Score
10225
Single Precision Score
11809
Half Precision Score
10976
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 01:06 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4859
903.7 IPS |
|
|
Image Classification (HP)
|
100% |
5016
932.8 IPS |
|
|
Image Classification (Q)
|
96% |
4766
890.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7648
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8420
136.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8153
132.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29593
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31836
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31452
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
5129
406.9 IPS |
|
|
Object Detection (HP)
|
100% |
5565
441.4 IPS |
|
|
Object Detection (Q)
|
92% |
4989
398.2 IPS |
|
|
Face Detection (SP)
|
100% |
13048
155.0 IPS |
|
|
Face Detection (HP)
|
100% |
17244
204.9 IPS |
|
|
Face Detection (Q)
|
100% |
13665
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22352
172.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23580
181.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21499
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60784
78.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71138
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
69107
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13128
484.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13155
485.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11018
406.8 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5384
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5340
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3442
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3487
60.3 IPS |
