Mac mini (2024)
Geekbench AI Score
5777
Single Precision Score
8952
Half Precision Score
6876
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | hawie |
| Upload Date | March 05 2025 08:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
3025
562.6 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3623
58.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3918
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18830
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31928
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24220
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2659
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7910
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4616
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8861
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14749
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9940
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35297
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48811
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38797
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7049
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9531
351.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5287
195.2 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5760
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8754
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8778
151.7 IPS |
