Mac mini (2024)
Geekbench AI Score
8457
Single Precision Score
10219
Half Precision Score
9273
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 05:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4610
857.4 IPS |
|
|
Image Classification (HP)
|
100% |
4955
921.5 IPS |
|
|
Image Classification (Q)
|
97% |
4356
812.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4808
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6891
111.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7556
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29636
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31966
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30455
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4978
394.9 IPS |
|
|
Object Detection (HP)
|
100% |
5419
429.8 IPS |
|
|
Object Detection (Q)
|
91% |
4629
369.9 IPS |
|
|
Face Detection (SP)
|
100% |
12784
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
15631
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
12166
144.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21129
162.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23756
183.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20188
157.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58318
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71804
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
67314
86.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12300
454.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13395
494.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10645
393.1 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5386
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1070
18.5 IPS |
