Mac mini (2024)
Geekbench AI Score
4645
Single Precision Score
37141
Half Precision Score
53019
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | 2048 |
| Upload Date | June 17 2025 01:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.88 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1962
364.9 IPS |
|
|
Image Classification (HP)
|
100% |
17870
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
26670
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2052
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21890
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29752
482.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9716
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
118501
138.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
222963
261.3 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
19641
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
26220
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3956
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
43764
520.0 IPS |
|
|
Face Detection (Q)
|
100% |
65941
783.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8328
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98167
756.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167081
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
20067
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
229888
295.5 IPS |
|
|
Style Transfer (Q)
|
96% |
290856
375.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5922
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49269
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91891
3.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6564
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6733
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17179
295.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19087
329.8 IPS |
