Mac mini (2024)
Geekbench AI Score
4997
Single Precision Score
8303
Half Precision Score
6668
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Ravageeject84 |
| Upload Date | March 27 2026 01:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3195
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3519
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8546
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
19129
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16532
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7357
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4368
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8013
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14034
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9902
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21452
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39222
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32209
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6992
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4881
180.2 IPS |
|
|
Text Classification (SP)
|
99% |
6655
8.88 KIPS |
|
|
Text Classification (HP)
|
99% |
10173
13.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10073
13.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7010
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6821
117.9 IPS |
