Mac mini (2024)
Geekbench AI Score
4735
Single Precision Score
37096
Half Precision Score
52017
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 04:17 PM |
| Views | 22 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
17913
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
28699
5.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21996
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30203
489.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124168
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233635
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
18835
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26819
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43594
518.0 IPS |
|
|
Face Detection (Q)
|
100% |
55353
657.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8412
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99177
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170269
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25434
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232406
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299868
387.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5743
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50478
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84187
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6185
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16434
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18146
313.6 IPS |
