Mac mini (2024)
Geekbench AI Score
4732
Single Precision Score
7750
Half Precision Score
6322
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrijan |
| Upload Date | April 17 2025 01:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3263
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3609
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9553
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19202
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16591
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3616
287.9 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7159
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
4338
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14605
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10247
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19388
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37107
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31880
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5904
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6967
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4982
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5396
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5375
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4411
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7095
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7187
124.2 IPS |
