Mac mini (2024)
Geekbench AI Score
4942
Single Precision Score
8123
Half Precision Score
6424
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 04 2026 04:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.4 IPS |
|
|
Image Classification (Q)
|
96% |
2296
428.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3493
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8653
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19164
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16408
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4374
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7408
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4307
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7985
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13832
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9732
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21710
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38853
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31834
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5160
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6924
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.2 IPS |
|
|
Text Classification (SP)
|
99% |
6565
8.76 KIPS |
|
|
Text Classification (HP)
|
99% |
10168
13.6 KIPS |
|
|
Text Classification (Q)
|
92% |
9426
12.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
4108
70.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5953
102.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5522
95.4 IPS |
