Mac mini (2024)
Geekbench AI Score
9228
Single Precision Score
10879
Half Precision Score
9750
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EASYGEEK-6 |
| Upload Date | December 30 2024 08:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4650
864.8 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.5 IPS |
|
|
Image Classification (Q)
|
97% |
4381
817.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7068
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7581
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29967
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32123
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30585
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5006
397.1 IPS |
|
|
Object Detection (HP)
|
100% |
5417
429.7 IPS |
|
|
Object Detection (Q)
|
91% |
4689
374.7 IPS |
|
|
Face Detection (SP)
|
100% |
13057
155.1 IPS |
|
|
Face Detection (HP)
|
100% |
16032
190.5 IPS |
|
|
Face Detection (Q)
|
100% |
12209
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21481
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23637
182.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20096
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58842
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71861
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68377
88.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12488
461.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13724
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10668
393.9 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1675
28.9 IPS |
