Mac mini (2024)
Geekbench AI Score
8806
Single Precision Score
10590
Half Precision Score
9466
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | February 20 2025 09:03 AM |
| Views | 14 |
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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4844
900.8 IPS |
|
|
Image Classification (HP)
|
100% |
5152
958.2 IPS |
|
|
Image Classification (Q)
|
97% |
4459
832.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4775
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6986
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7636
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30136
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32196
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30683
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5026
398.7 IPS |
|
|
Object Detection (HP)
|
100% |
5524
438.2 IPS |
|
|
Object Detection (Q)
|
91% |
4722
377.3 IPS |
|
|
Face Detection (SP)
|
100% |
12764
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16447
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
11894
141.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21655
166.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24211
186.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20836
162.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60318
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72593
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68259
88.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12941
477.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13965
515.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11565
427.0 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1100
19.0 IPS |
