Mac mini (2024)
Geekbench AI Score
5359
Single Precision Score
9072
Half Precision Score
7019
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | September 07 2025 06:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3044
566.2 IPS |
|
|
Image Classification (Q)
|
96% |
2168
404.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3898
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17178
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31722
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24505
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8081
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4691
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8612
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14610
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10421
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25503
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50599
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39660
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10016
369.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5700
210.5 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9073
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9134
157.9 IPS |
