Mac mini (2024)
Geekbench AI Score
9307
Single Precision Score
11219
Half Precision Score
9851
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
4676
869.6 IPS |
|
|
Image Classification (HP)
|
100% |
5052
939.6 IPS |
|
|
Image Classification (Q)
|
97% |
4417
824.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5067
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7092
115.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7763
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29958
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32132
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30685
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5050
400.6 IPS |
|
|
Object Detection (HP)
|
100% |
5467
433.6 IPS |
|
|
Object Detection (Q)
|
91% |
4688
374.6 IPS |
|
|
Face Detection (SP)
|
100% |
13284
157.8 IPS |
|
|
Face Detection (HP)
|
100% |
17335
206.0 IPS |
|
|
Face Detection (Q)
|
100% |
12557
149.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21594
166.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23794
183.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
19997
156.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59207
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72242
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
68205
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12803
472.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13742
507.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10940
404.0 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1706
29.5 IPS |
