Mac mini (2024)
Geekbench AI Score
16053
Single Precision Score
18119
Half Precision Score
15721
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | JootecFromMars |
| Upload Date | November 08 2025 02:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
7913
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8645
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
7508
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14230
230.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14950
242.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14392
233.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
54431
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59550
69.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57551
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
6981
553.7 IPS |
|
|
Object Detection (HP)
|
100% |
7407
587.6 IPS |
|
|
Object Detection (Q)
|
92% |
7152
570.9 IPS |
|
|
Face Detection (SP)
|
100% |
25674
305.1 IPS |
|
|
Face Detection (HP)
|
100% |
29335
348.6 IPS |
|
|
Face Detection (Q)
|
100% |
24143
286.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33045
254.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34770
267.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
32390
253.0 IPS |
|
|
Style Transfer (SP)
|
100% |
120127
154.4 IPS |
|
|
Style Transfer (HP)
|
100% |
133735
171.9 IPS |
|
|
Style Transfer (Q)
|
96% |
131003
169.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20662
762.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21439
791.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18645
688.5 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5709
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4009
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1967
34.0 IPS |
