Mac mini (2024)
Geekbench AI Score
10773
Single Precision Score
12768
Half Precision Score
12146
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | March 23 2026 11:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5049
939.0 IPS |
|
|
Image Classification (HP)
|
100% |
5223
971.3 IPS |
|
|
Image Classification (Q)
|
96% |
5093
951.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7597
123.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8547
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8112
131.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28897
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33053
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32197
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4966
393.9 IPS |
|
|
Object Detection (HP)
|
100% |
5458
433.0 IPS |
|
|
Object Detection (Q)
|
91% |
5406
432.0 IPS |
|
|
Face Detection (SP)
|
100% |
13203
156.9 IPS |
|
|
Face Detection (HP)
|
100% |
18424
218.9 IPS |
|
|
Face Detection (Q)
|
100% |
17045
202.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21182
163.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23608
181.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
22437
175.6 IPS |
|
|
Style Transfer (SP)
|
100% |
61243
78.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72896
93.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69768
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11873
438.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12431
459.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10958
404.6 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5548
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6144
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5705
98.6 IPS |
