Mac mini (2024)
Geekbench AI Score
10219
Single Precision Score
11699
Half Precision Score
10928
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 18 2025 01:55 PM |
| Views | 1 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4741
881.7 IPS |
|
|
Image Classification (HP)
|
100% |
5097
947.9 IPS |
|
|
Image Classification (Q)
|
96% |
4736
884.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7571
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7980
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7930
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29469
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31921
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31149
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4816
382.0 IPS |
|
|
Object Detection (HP)
|
100% |
5429
430.7 IPS |
|
|
Object Detection (Q)
|
92% |
5004
399.4 IPS |
|
|
Face Detection (SP)
|
100% |
12698
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
16409
195.0 IPS |
|
|
Face Detection (Q)
|
100% |
13649
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21585
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23839
183.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21845
170.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58917
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72143
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69385
89.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12388
457.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13686
505.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11466
423.4 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5479
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4090
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3195
55.2 IPS |
