M4 Pro Mac mini 14c (8/13/25) Mac mini (2024)
Geekbench AI Score
5350
Single Precision Score
37619
Half Precision Score
50805
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | August 13 2025 12:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
18056
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22414
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23260
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32359
524.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17190
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123399
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231016
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
20489
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25864
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4712
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
44135
524.4 IPS |
|
|
Face Detection (Q)
|
100% |
65496
778.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8592
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113069
871.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
181848
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25283
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239758
308.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304325
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46525
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79286
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5421
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16327
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16973
293.3 IPS |
