Mac mini (2024)
Geekbench AI Score
4731
Single Precision Score
7794
Half Precision Score
6347
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Yukon |
| Upload Date | December 14 2024 02:08 AM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
3266
607.3 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3185
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3625
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19032
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16595
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7592
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4536
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14853
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10379
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25407
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38445
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32026
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5764
212.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6864
253.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6961
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6972
120.5 IPS |
