Mac mini (2024)
Geekbench AI Score
10310
Single Precision Score
12174
Half Precision Score
11416
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrijan |
| Upload Date | April 17 2025 01:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4898
910.8 IPS |
|
|
Image Classification (HP)
|
100% |
5232
972.9 IPS |
|
|
Image Classification (Q)
|
96% |
4906
916.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7650
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8398
136.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8166
132.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29993
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32282
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31323
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
5147
408.2 IPS |
|
|
Object Detection (HP)
|
100% |
5686
451.0 IPS |
|
|
Object Detection (Q)
|
92% |
5179
413.4 IPS |
|
|
Face Detection (SP)
|
100% |
12815
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16979
201.7 IPS |
|
|
Face Detection (Q)
|
100% |
14071
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22399
172.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24894
191.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22859
178.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61713
79.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72574
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
70047
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13116
484.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14336
529.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12231
451.6 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5343
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3929
67.9 IPS |
