Mac mini (2024)
Geekbench AI Score
4932
Single Precision Score
36622
Half Precision Score
51605
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | gemino |
| Upload Date | January 12 2026 07:44 AM |
| Views | 8 |
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% |
2121
394.5 IPS |
|
|
Image Classification (HP)
|
100% |
17128
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24666
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22176
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30162
488.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123171
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232404
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
18797
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26328
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4263
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43009
511.0 IPS |
|
|
Face Detection (Q)
|
100% |
61590
731.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99689
768.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165318
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24334
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233549
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
321802
415.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52141
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86393
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5695
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5673
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16599
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18326
316.7 IPS |
