Mac mini (2024)
Geekbench AI Score
4774
Single Precision Score
7846
Half Precision Score
6363
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | somata |
| Upload Date | December 29 2024 10:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
3273
608.7 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3268
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3655
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10047
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19060
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16606
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7739
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4561
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8409
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14901
115.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10407
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25419
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38680
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32084
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6721
248.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4785
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5556
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6949
120.1 IPS |
