Mac mini (2024)
Geekbench AI Score
14966
Single Precision Score
16647
Half Precision Score
15453
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 18 2025 03:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.41 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6927
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7498
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6864
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12263
198.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12839
208.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12126
196.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45089
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
46917
54.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
45948
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
6719
532.9 IPS |
|
|
Object Detection (HP)
|
100% |
7154
567.5 IPS |
|
|
Object Detection (Q)
|
92% |
6367
508.3 IPS |
|
|
Face Detection (SP)
|
100% |
23455
278.7 IPS |
|
|
Face Detection (HP)
|
100% |
25555
303.7 IPS |
|
|
Face Detection (Q)
|
100% |
20555
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31284
241.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
31707
244.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
29157
227.7 IPS |
|
|
Style Transfer (SP)
|
100% |
103897
133.6 IPS |
|
|
Style Transfer (HP)
|
100% |
110386
141.9 IPS |
|
|
Style Transfer (Q)
|
96% |
108702
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18068
667.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18270
674.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15826
584.4 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5236
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5515
95.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5885
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5907
102.1 IPS |
