Mac mini (2024)
Geekbench AI Score
9952
Single Precision Score
11854
Half Precision Score
10907
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lhi0828 |
| Upload Date | October 16 2025 02:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4819
896.1 IPS |
|
|
Image Classification (HP)
|
100% |
5147
957.2 IPS |
|
|
Image Classification (Q)
|
96% |
4653
869.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7585
123.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8407
136.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7809
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28782
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33265
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32327
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4831
383.2 IPS |
|
|
Object Detection (HP)
|
100% |
5336
423.3 IPS |
|
|
Object Detection (Q)
|
92% |
5075
405.1 IPS |
|
|
Face Detection (SP)
|
100% |
12714
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
17601
209.1 IPS |
|
|
Face Detection (Q)
|
100% |
13940
165.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20988
161.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23591
181.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21426
167.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59628
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72517
93.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69982
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11956
441.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12285
453.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10781
398.1 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5876
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2885
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3062
52.9 IPS |
