Mac mini (2024)
Geekbench AI Score
10098
Single Precision Score
11762
Half Precision Score
11108
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ovikiss |
| Upload Date | November 15 2025 07:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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% |
4592
854.0 IPS |
|
|
Image Classification (HP)
|
100% |
5204
967.8 IPS |
|
|
Image Classification (Q)
|
96% |
4583
855.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7618
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8233
133.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7963
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28758
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33013
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32392
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.9 IPS |
|
|
Object Detection (HP)
|
100% |
5288
419.4 IPS |
|
|
Object Detection (Q)
|
92% |
5141
410.4 IPS |
|
|
Face Detection (SP)
|
100% |
12767
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
17314
205.7 IPS |
|
|
Face Detection (Q)
|
100% |
14007
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20839
160.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23423
180.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21365
166.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60130
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72216
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
69614
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11712
432.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12972
479.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10826
399.7 IPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5787
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5737
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3638
62.9 IPS |
