Mac mini (2024)
Geekbench AI Score
13334
Single Precision Score
15045
Half Precision Score
14798
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jimscard |
| Upload Date | June 27 2025 01:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6915
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7346
1.37 KIPS |
|
|
Image Classification (Q)
|
96% |
6759
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12087
195.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12757
206.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12166
197.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44291
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
49429
57.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47578
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6465
512.8 IPS |
|
|
Object Detection (HP)
|
100% |
6866
544.6 IPS |
|
|
Object Detection (Q)
|
92% |
6519
520.3 IPS |
|
|
Face Detection (SP)
|
100% |
23665
281.2 IPS |
|
|
Face Detection (HP)
|
100% |
25572
303.9 IPS |
|
|
Face Detection (Q)
|
100% |
21265
252.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30203
232.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31877
245.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
29118
227.4 IPS |
|
|
Style Transfer (SP)
|
100% |
101853
130.9 IPS |
|
|
Style Transfer (HP)
|
100% |
112682
144.9 IPS |
|
|
Style Transfer (Q)
|
96% |
109178
140.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16007
591.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16894
623.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15342
566.5 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5145
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5105
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3729
64.4 IPS |
