Mac mini (2024)
Geekbench AI Score
5825
Single Precision Score
9392
Half Precision Score
7187
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 08 2026 12:10 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.7 IPS |
|
|
Image Classification (HP)
|
100% |
3002
558.3 IPS |
|
|
Image Classification (Q)
|
96% |
2152
401.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3515
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17515
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33962
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26801
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
97% |
3887
309.4 IPS |
|
|
Object Detection (Q)
|
94% |
2789
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
5068
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8610
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
4796
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8860
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15264
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9742
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30597
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57571
74.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43865
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9469
349.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5341
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5651
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9487
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9472
163.7 IPS |
