Mac mini (2024)
Geekbench AI Score
9143
Single Precision Score
11147
Half Precision Score
10060
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tuxing |
| Upload Date | December 18 2024 05:02 PM |
| Views | 5 |
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% |
4618
858.8 IPS |
|
|
Image Classification (HP)
|
100% |
5007
931.2 IPS |
|
|
Image Classification (Q)
|
97% |
4352
812.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4883
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7000
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7569
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29765
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32033
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30555
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4984
395.3 IPS |
|
|
Object Detection (HP)
|
100% |
5451
432.4 IPS |
|
|
Object Detection (Q)
|
91% |
4674
373.5 IPS |
|
|
Face Detection (SP)
|
100% |
12818
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16671
198.1 IPS |
|
|
Face Detection (Q)
|
100% |
12118
144.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21336
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23655
182.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20244
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58354
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71895
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67908
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12401
457.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13710
506.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10995
406.0 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2199
38.0 IPS |
