Mac mini (2024)
Geekbench AI Score
2694
Single Precision Score
4353
Half Precision Score
3411
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 09 2025 10:28 AM |
| Views | 3 |
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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1119
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
1795
333.7 IPS |
|
|
Image Classification (Q)
|
96% |
1176
219.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1914
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5768
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
10471
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8913
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
97% |
2045
162.8 IPS |
|
|
Object Detection (Q)
|
94% |
1432
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2244
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4746
36.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
7977
61.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5434
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11744
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20549
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16801
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3308
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3953
145.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2744
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2933
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4470
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4511
78.0 IPS |
