Mac mini (2024)
Geekbench AI Score
5798
Single Precision Score
8902
Half Precision Score
6879
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Phizzle |
| Upload Date | February 13 2025 08:18 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3523
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3932
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18904
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31922
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23696
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4578
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7753
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4610
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8888
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14245
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10037
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35390
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49682
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39001
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7045
260.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9530
351.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5269
194.6 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5182
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5846
100.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8853
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8810
152.2 IPS |
