Mac mini (2024)
Geekbench AI Score
8532
Single Precision Score
10341
Half Precision Score
9327
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Yukon |
| Upload Date | December 14 2024 02:11 AM |
| Views | 8 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4589
853.5 IPS |
|
|
Image Classification (HP)
|
100% |
4946
919.9 IPS |
|
|
Image Classification (Q)
|
97% |
4354
812.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4805
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6952
112.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7543
122.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29650
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32025
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30486
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4960
393.4 IPS |
|
|
Object Detection (HP)
|
100% |
5415
429.5 IPS |
|
|
Object Detection (Q)
|
91% |
4630
370.0 IPS |
|
|
Face Detection (SP)
|
100% |
12679
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16450
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
12346
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21235
163.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23723
182.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19968
156.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58293
74.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71602
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
67806
87.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12504
461.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13726
506.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10703
395.2 IPS |
|
|
Text Classification (SP)
|
100% |
2994
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5578
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5348
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1124
19.4 IPS |
