Mac mini (2024)
Geekbench AI Score
4764
Single Precision Score
7848
Half Precision Score
6356
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | engi75 |
| Upload Date | December 26 2024 02:53 PM |
| Views | 2 |
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% |
2069
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.6 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19069
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16603
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.8 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7686
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4501
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8414
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14869
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10402
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25468
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38558
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32048
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6956
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4782
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3101
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7012
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7060
122.0 IPS |
