Mac mini (2024)
Geekbench AI Score
4718
Single Precision Score
36512
Half Precision Score
52655
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 16 2025 12:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2023
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
17745
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25733
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21383
346.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30333
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123833
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232973
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
18928
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26677
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
38997
463.4 IPS |
|
|
Face Detection (Q)
|
100% |
64014
760.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99879
769.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171581
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25385
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234969
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300302
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50159
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83866
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6236
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6679
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16539
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18282
315.9 IPS |
