Mac mini (2024)
Geekbench AI Score
5748
Single Precision Score
8908
Half Precision Score
6881
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2104
391.3 IPS |
|
|
Image Classification (HP)
|
100% |
3086
573.9 IPS |
|
|
Image Classification (Q)
|
96% |
2178
406.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18948
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31331
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24253
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4496
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
7799
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4559
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8719
67.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13978
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9984
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35349
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48581
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38052
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9677
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5338
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5311
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5276
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5652
97.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8866
153.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8828
152.6 IPS |
