Mac mini (2024)
Geekbench AI Score
4848
Single Precision Score
7897
Half Precision Score
6371
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Degeho |
| Upload Date | September 12 2025 06:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.7 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.1 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3131
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3617
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9953
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19425
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16701
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4247
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7658
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
4439
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8657
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14677
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10312
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21621
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38715
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31886
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5552
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7035
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7271
125.6 IPS |
