Mac mini (2024)
Geekbench AI Score
7751
Single Precision Score
9372
Half Precision Score
8374
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mkennedy |
| Upload Date | February 21 2025 05:23 PM |
| Views | 11 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4701
874.3 IPS |
|
|
Image Classification (HP)
|
100% |
4776
888.1 IPS |
|
|
Image Classification (Q)
|
97% |
3982
743.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4321
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6509
105.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7062
114.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26883
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29131
34.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27857
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4486
355.9 IPS |
|
|
Object Detection (HP)
|
100% |
4937
391.6 IPS |
|
|
Object Detection (Q)
|
91% |
4235
338.4 IPS |
|
|
Face Detection (SP)
|
100% |
11124
132.2 IPS |
|
|
Face Detection (HP)
|
100% |
15172
180.3 IPS |
|
|
Face Detection (Q)
|
100% |
11142
132.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18962
146.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21810
168.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
18106
141.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55431
71.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67097
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62995
81.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11928
440.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12337
455.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9998
369.2 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5150
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
782
13.5 IPS |
