Mac mini (2024)
Geekbench AI Score
4666
Single Precision Score
7735
Half Precision Score
6285
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | libc |
| Upload Date | March 12 2025 07:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.2 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3149
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3606
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9835
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18896
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16477
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
97% |
3739
297.6 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
3828
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
7286
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14717
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10315
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25107
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38340
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31822
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6827
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4773
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6735
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6824
117.9 IPS |
