Mac mini (2024)
Geekbench AI Score
10032
Single Precision Score
11957
Half Precision Score
10939
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | April 05 2025 04:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4639
862.8 IPS |
|
|
Image Classification (HP)
|
100% |
4979
925.9 IPS |
|
|
Image Classification (Q)
|
96% |
4676
873.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7646
123.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8385
135.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8028
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29595
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31956
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31214
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4881
387.2 IPS |
|
|
Object Detection (HP)
|
100% |
5404
428.7 IPS |
|
|
Object Detection (Q)
|
92% |
5034
401.8 IPS |
|
|
Face Detection (SP)
|
100% |
13194
156.8 IPS |
|
|
Face Detection (HP)
|
100% |
17141
203.7 IPS |
|
|
Face Detection (Q)
|
100% |
13719
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21844
168.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23802
183.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21592
168.8 IPS |
|
|
Style Transfer (SP)
|
100% |
61193
78.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71740
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69976
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12556
463.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13725
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11431
422.1 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5256
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3927
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3146
54.4 IPS |
