Mac mini (2024)
Geekbench AI Score
5413
Single Precision Score
8903
Half Precision Score
6909
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | decryp7 |
| Upload Date | September 26 2025 01:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16784
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32776
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
25038
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2376
188.5 IPS |
|
|
Object Detection (HP)
|
97% |
3665
291.8 IPS |
|
|
Object Detection (Q)
|
94% |
2567
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
4480
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7922
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4387
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8108
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13988
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29671
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54263
69.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40430
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6817
251.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9175
338.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5680
209.7 IPS |
|
|
Text Classification (SP)
|
100% |
3113
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5369
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5487
94.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9227
159.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9268
160.2 IPS |
