Mac mini (2024)
Geekbench AI Score
4752
Single Precision Score
7864
Half Precision Score
6366
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 12 2025 04:52 PM |
| Views | 5 |
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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
3297
613.2 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3222
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19050
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16605
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
4083
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7761
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4559
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8445
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14895
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10426
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25464
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38539
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32088
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4788
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5503
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6988
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7004
121.0 IPS |
