Mac mini (2024)
Geekbench AI Score
5754
Single Precision Score
37396
Half Precision Score
50184
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | stefanobolognini |
| Upload Date | March 14 2025 10:00 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
17541
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
21969
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23198
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33021
535.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18715
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123262
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230625
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
20072
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24287
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
44515
528.9 IPS |
|
|
Face Detection (Q)
|
100% |
64396
765.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8681
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111592
859.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179059
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
34990
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
236968
304.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304343
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46266
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79262
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6000
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5710
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16260
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16857
291.3 IPS |
