Mac mini (2024)
Geekbench AI Score
9581
Single Precision Score
11608
Half Precision Score
10654
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hlee25 |
| Upload Date | June 11 2025 06:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 4.12 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4484
833.9 IPS |
|
|
Image Classification (HP)
|
100% |
4796
891.9 IPS |
|
|
Image Classification (Q)
|
96% |
4495
839.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7582
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8185
132.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7933
128.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28648
33.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32980
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32099
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4706
373.3 IPS |
|
|
Object Detection (HP)
|
100% |
5304
420.7 IPS |
|
|
Object Detection (Q)
|
92% |
4810
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
12669
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
16741
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
13645
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20777
160.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23187
178.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21239
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59320
76.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72098
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69506
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11538
426.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12073
445.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10485
387.2 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5115
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5226
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3102
53.6 IPS |
