Mac mini (2024)
Geekbench AI Score
4517
Single Precision Score
36066
Half Precision Score
50650
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 01:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
17220
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
25208
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21487
348.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29350
475.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9466
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123583
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231098
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
100% |
17994
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25199
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
42719
507.6 IPS |
|
|
Face Detection (Q)
|
100% |
59415
706.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8024
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98453
758.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
166167
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24164
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234790
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299081
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5490
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49047
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84630
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6341
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6039
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
14740
253.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17092
295.4 IPS |
