Mac mini (2024)
Geekbench AI Score
5743
Single Precision Score
9240
Half Precision Score
7120
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kgestring |
| Upload Date | January 23 2026 01:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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% |
2161
401.9 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (Q)
|
96% |
2151
401.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3417
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3891
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17326
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33964
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26785
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.5 IPS |
|
|
Object Detection (HP)
|
97% |
3874
308.4 IPS |
|
|
Object Detection (Q)
|
94% |
2747
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
5072
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
8438
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4796
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8784
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14958
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9639
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30257
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57103
73.4 IPS |
|
|
Style Transfer (Q)
|
96% |
43973
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7054
260.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9219
340.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5365
198.1 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5316
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5352
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5946
102.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9429
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9324
161.1 IPS |
