M4 Pro Mac mini 14c (8/13/25) Mac mini (2024)
Geekbench AI Score
5344
Single Precision Score
9070
Half Precision Score
7056
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | August 13 2025 12:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G207) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3030
563.4 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3320
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3847
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16873
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32779
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24760
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8136
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4757
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15083
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25333
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52367
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40031
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9979
368.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5776
213.3 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5304
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5189
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5474
94.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8934
154.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9138
157.9 IPS |
