Mac mini (2024)
Geekbench AI Score
10247
Single Precision Score
12262
Half Precision Score
10972
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 08 2026 02:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4848
901.6 IPS |
|
|
Image Classification (HP)
|
100% |
5214
969.7 IPS |
|
|
Image Classification (Q)
|
96% |
4749
886.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7698
124.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8439
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8065
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28942
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33069
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32206
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4925
390.7 IPS |
|
|
Object Detection (HP)
|
100% |
5394
427.8 IPS |
|
|
Object Detection (Q)
|
92% |
5026
401.2 IPS |
|
|
Face Detection (SP)
|
100% |
13096
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
17573
208.8 IPS |
|
|
Face Detection (Q)
|
100% |
14063
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21191
163.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23688
182.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21294
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60525
77.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72404
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
70031
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12244
452.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12401
457.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10752
397.0 IPS |
|
|
Text Classification (SP)
|
100% |
3401
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5740
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4531
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3152
54.5 IPS |
