Mac mini (2024)
Geekbench AI Score
2666
Single Precision Score
23032
Half Precision Score
33143
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | May 09 2025 07:55 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (HP)
|
100% |
12007
2.23 KIPS |
|
|
Image Classification (Q)
|
97% |
17236
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14746
239.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19576
317.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5674
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
67635
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
128876
151.1 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
100% |
12129
962.1 IPS |
|
|
Object Detection (Q)
|
91% |
16834
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
28172
334.7 IPS |
|
|
Face Detection (Q)
|
100% |
39648
471.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4772
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
61049
470.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
104161
814.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11580
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
150042
192.9 IPS |
|
|
Style Transfer (Q)
|
96% |
197913
255.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32802
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56084
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4898
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8523
146.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9732
168.2 IPS |
