Mac mini (2024)
Geekbench AI Score
4614
Single Precision Score
37053
Half Precision Score
53499
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 01:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1982
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
17927
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
29424
5.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21844
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
29725
481.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9732
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
118991
138.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232175
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
100% |
19010
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26592
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3796
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
43983
522.6 IPS |
|
|
Face Detection (Q)
|
100% |
62882
747.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8262
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100879
777.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
172275
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24670
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234744
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300311
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5571
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51414
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87638
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6493
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
7171
9.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
15838
272.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17398
300.7 IPS |
