Mac mini (2024)
Geekbench AI Score
5391
Single Precision Score
38174
Half Precision Score
51072
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 12:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
18536
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
22932
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23689
384.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32599
528.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17078
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122670
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230601
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
20060
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
25653
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
45795
544.1 IPS |
|
|
Face Detection (Q)
|
100% |
62559
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8663
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114281
880.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
180640
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25780
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
239244
307.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303501
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46700
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82729
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5628
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16924
291.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17127
296.0 IPS |
