M4 Pro Mac mini 14c (8/13/25) Mac mini (2024)
Geekbench AI Score
15156
Single Precision Score
17239
Half Precision Score
15278
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | August 13 2025 12:31 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7635
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
7933
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
7405
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14475
234.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15198
246.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14353
232.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56276
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
56660
66.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
55946
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
6827
541.6 IPS |
|
|
Object Detection (HP)
|
100% |
7521
596.6 IPS |
|
|
Object Detection (Q)
|
92% |
6934
553.5 IPS |
|
|
Face Detection (SP)
|
100% |
25390
301.7 IPS |
|
|
Face Detection (HP)
|
100% |
28306
336.3 IPS |
|
|
Face Detection (Q)
|
100% |
23411
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33556
258.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34347
264.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
31489
246.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123865
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
131547
169.1 IPS |
|
|
Style Transfer (Q)
|
96% |
129499
167.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23011
849.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21782
804.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19778
730.3 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5212
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5140
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1732
29.9 IPS |
