Mac mini (2024)
Geekbench AI Score
5350
Single Precision Score
8981
Half Precision Score
7018
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:05 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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% |
2039
379.1 IPS |
|
|
Image Classification (HP)
|
100% |
3056
568.4 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16696
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31685
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24339
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7914
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4611
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14132
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10270
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26486
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49286
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39041
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5959
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10003
369.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6038
223.0 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5578
96.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9160
158.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9100
157.3 IPS |
