Mac mini (2024)
Geekbench AI Score
14742
Single Precision Score
16554
Half Precision Score
15299
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | fhlipzero |
| Upload Date | October 20 2025 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7027
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7552
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
6739
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12075
195.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12606
204.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11624
188.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
42338
49.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47110
55.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
45443
53.2 IPS |
|
|
Object Detection (SP)
|
100% |
6521
517.3 IPS |
|
|
Object Detection (HP)
|
100% |
6782
537.9 IPS |
|
|
Object Detection (Q)
|
92% |
6282
501.4 IPS |
|
|
Face Detection (SP)
|
100% |
22400
266.2 IPS |
|
|
Face Detection (HP)
|
100% |
24676
293.2 IPS |
|
|
Face Detection (Q)
|
100% |
20492
243.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
30126
232.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
31344
241.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
28460
222.3 IPS |
|
|
Style Transfer (SP)
|
100% |
99237
127.6 IPS |
|
|
Style Transfer (HP)
|
100% |
110263
141.7 IPS |
|
|
Style Transfer (Q)
|
96% |
108417
139.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16449
607.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17507
646.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14943
551.8 IPS |
|
|
Text Classification (SP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5824
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5416
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5794
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5710
98.7 IPS |
