Mac mini (2024)
Geekbench AI Score
4834
Single Precision Score
7505
Half Precision Score
6333
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | September 14 2025 06:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
2033
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3465
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9773
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11512
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16465
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (HP)
|
97% |
3691
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2643
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
4108
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7167
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4342
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13833
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9655
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23118
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38283
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31572
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5981
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7162
264.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5820
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5803
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7883
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7817
135.1 IPS |
