Mac mini (2024)
Geekbench AI Score
4684
Single Precision Score
37091
Half Precision Score
52822
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:30 AM |
| Views | 2 |
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% |
2018
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
18515
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
29519
5.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22035
357.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30220
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9958
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123644
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232456
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
18595
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26259
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3913
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
44094
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
61546
731.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100184
771.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171225
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25048
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233670
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299367
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5798
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50512
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87861
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6094
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6160
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16539
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18191
314.4 IPS |
