Mac mini (2024)
Geekbench AI Score
4873
Single Precision Score
7936
Half Precision Score
6361
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | April 05 2025 04:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2103
391.2 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.1 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3149
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3606
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10010
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19404
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16728
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4472
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8819
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14806
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10459
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22262
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38662
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32111
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6117
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5727
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5263
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7129
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7166
123.8 IPS |
