Mac mini (2024)
Geekbench AI Score
4750
Single Precision Score
7840
Half Precision Score
6260
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jiashu |
| Upload Date | April 22 2025 08:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.1 IPS |
|
|
Image Classification (Q)
|
96% |
2241
418.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3171
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3489
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9796
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19120
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16298
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.0 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4070
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
7293
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4262
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14358
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10022
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21297
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38163
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31508
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7222
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7360
127.2 IPS |
