Mac mini (2024)
Geekbench AI Score
5319
Single Precision Score
8896
Half Precision Score
6855
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | umoms69 |
| Upload Date | March 08 2025 02:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
3000
558.0 IPS |
|
|
Image Classification (Q)
|
96% |
2159
403.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3867
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17148
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31891
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23642
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
7780
92.4 IPS |
|
|
Face Detection (Q)
|
100% |
4488
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14738
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10055
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25623
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49455
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38313
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9963
367.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5991
221.2 IPS |
|
|
Text Classification (SP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5084
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5007
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5357
92.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8422
145.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8460
146.2 IPS |
