Mac mini (2024)
Geekbench AI Score
4969
Single Precision Score
36523
Half Precision Score
51863
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | apq |
| Upload Date | December 29 2025 11:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2134
396.9 IPS |
|
|
Image Classification (HP)
|
100% |
17669
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25463
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21913
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29947
485.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123112
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232413
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
18065
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26238
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
43013
511.1 IPS |
|
|
Face Detection (Q)
|
100% |
61146
726.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99477
766.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163580
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24700
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233688
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
324254
418.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6023
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51677
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88555
3.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5728
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4521
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16572
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18426
318.4 IPS |
