Mac mini (2024)
Geekbench AI Score
4721
Single Precision Score
36368
Half Precision Score
50701
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | December 07 2024 07:00 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
18642
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
23560
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21850
354.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30284
490.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9982
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123731
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232538
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
17836
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25261
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42893
509.7 IPS |
|
|
Face Detection (Q)
|
100% |
64825
770.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100052
770.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167074
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25360
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234108
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298474
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49506
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83268
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16148
278.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17727
306.3 IPS |
