Mac mini (2024)
Geekbench AI Score
13951
Single Precision Score
15933
Half Precision Score
14824
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 07 2025 06:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6994
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7482
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6810
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12300
199.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12797
207.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12136
196.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
46009
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47326
55.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46542
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
6628
525.8 IPS |
|
|
Object Detection (HP)
|
100% |
7128
565.4 IPS |
|
|
Object Detection (Q)
|
92% |
6472
516.6 IPS |
|
|
Face Detection (SP)
|
100% |
23799
282.8 IPS |
|
|
Face Detection (HP)
|
100% |
25256
300.1 IPS |
|
|
Face Detection (Q)
|
100% |
21370
253.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31042
239.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
31867
245.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
29388
229.6 IPS |
|
|
Style Transfer (SP)
|
100% |
105129
135.1 IPS |
|
|
Style Transfer (HP)
|
100% |
110883
142.5 IPS |
|
|
Style Transfer (Q)
|
96% |
108758
140.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16869
622.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17092
631.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14973
552.9 IPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5198
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4127
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3873
66.9 IPS |
