Mac mini (2024)
Geekbench AI Score
5365
Single Precision Score
37503
Half Precision Score
50590
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
17711
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
22267
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23208
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32525
527.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17345
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122399
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228228
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
19805
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24569
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
45429
539.8 IPS |
|
|
Face Detection (Q)
|
100% |
66718
792.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112457
866.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179422
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25742
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238446
306.5 IPS |
|
|
Style Transfer (Q)
|
96% |
305150
393.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5951
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46914
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78776
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2903
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5700
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5623
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16608
286.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16488
284.9 IPS |
