Mac mini (2024)
Geekbench AI Score
4682
Single Precision Score
7784
Half Precision Score
6271
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | muddybulldog |
| Upload Date | January 15 2025 01:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3248
604.0 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9895
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18999
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16411
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.8 IPS |
|
|
Object Detection (HP)
|
97% |
3776
300.6 IPS |
|
|
Object Detection (Q)
|
94% |
2723
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
3890
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7479
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4404
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14667
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10215
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25039
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38056
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31619
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6771
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4766
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5698
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6816
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6888
119.0 IPS |
