Mac mini (2024)
Geekbench AI Score
4720
Single Precision Score
37160
Half Precision Score
52413
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 05 2024 12:01 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
17672
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25019
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21937
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30533
495.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9918
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124056
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232879
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
18871
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26653
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3953
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
43853
521.1 IPS |
|
|
Face Detection (Q)
|
100% |
61775
734.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100573
774.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
172346
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25384
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236244
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301138
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50591
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87657
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6375
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6358
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16463
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18468
319.1 IPS |
