Mac mini (2024)
Geekbench AI Score
5406
Single Precision Score
37725
Half Precision Score
51315
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | April 13 2025 11:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
17446
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22655
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23383
379.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32263
523.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17463
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122721
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230299
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
100% |
20857
1.65 KIPS |
|
|
Object Detection (Q)
|
91% |
24368
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
45759
543.7 IPS |
|
|
Face Detection (Q)
|
100% |
66164
786.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8652
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111883
862.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177524
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26319
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238963
307.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301681
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46675
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82597
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6175
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5655
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17101
294.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17080
295.2 IPS |
