Mac mini (2024)
Geekbench AI Score
4728
Single Precision Score
7958
Half Precision Score
6189
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 02 2025 04:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1634
303.8 IPS |
|
|
Image Classification (HP)
|
100% |
3249
604.2 IPS |
|
|
Image Classification (Q)
|
96% |
2356
440.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3216
52.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19403
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16655
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7716
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4454
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8473
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13670
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9736
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21178
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39059
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31998
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7234
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4469
77.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8024
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5920
102.3 IPS |
