Mac mini (2024)
Geekbench AI Score
4962
Single Precision Score
36832
Half Precision Score
51672
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | calvinh |
| Upload Date | March 17 2026 08:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
18136
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
24051
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22112
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30346
491.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123003
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232168
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
17878
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26068
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43573
517.7 IPS |
|
|
Face Detection (Q)
|
100% |
60683
721.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99412
765.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167585
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24579
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233018
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
322045
415.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6046
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54151
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88784
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5798
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5780
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4447
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18281
315.9 IPS |
