Mac mini (2024)
Geekbench AI Score
9170
Single Precision Score
11068
Half Precision Score
9489
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ikristof |
| Upload Date | February 19 2025 03:31 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4590
853.6 IPS |
|
|
Image Classification (HP)
|
100% |
5096
947.6 IPS |
|
|
Image Classification (Q)
|
97% |
4353
812.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7021
113.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7564
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29875
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32094
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30580
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5016
397.8 IPS |
|
|
Object Detection (HP)
|
100% |
5464
433.4 IPS |
|
|
Object Detection (Q)
|
91% |
4714
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
12681
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
16631
197.6 IPS |
|
|
Face Detection (Q)
|
100% |
12177
144.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21359
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23672
182.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20297
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59926
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72545
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68189
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12520
462.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13764
508.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10718
395.8 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
