Mac mini (2024)
Geekbench AI Score
4985
Single Precision Score
36939
Half Precision Score
52373
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tavcsor |
| Upload Date | January 02 2026 07:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.6 IPS |
|
|
Image Classification (HP)
|
100% |
17070
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
24707
4.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21823
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30488
494.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9938
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123413
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232610
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
17926
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26882
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
43660
518.8 IPS |
|
|
Face Detection (Q)
|
100% |
61208
727.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100184
771.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170848
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24477
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
234900
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
321610
415.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52448
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88451
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6240
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6001
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17070
294.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18466
319.1 IPS |
