Mac mini (2024)
Geekbench AI Score
5266
Single Precision Score
8883
Half Precision Score
6907
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 20 2026 02:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 4.31 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
3011
560.0 IPS |
|
|
Image Classification (Q)
|
96% |
2128
397.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3367
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3846
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16861
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30923
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23942
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2382
188.9 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7621
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4490
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14545
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10029
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25049
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49252
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38597
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9847
363.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5664
209.1 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5272
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5274
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5535
95.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9115
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9184
158.7 IPS |
