Mac mini (2024)
Geekbench AI Score
4876
Single Precision Score
7914
Half Precision Score
6226
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jsevenzero |
| Upload Date | September 27 2025 10:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.2 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3184
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3493
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9935
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19193
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16629
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7716
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4461
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8399
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13860
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9895
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24438
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38733
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31849
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4583
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
3313
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5787
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4210
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7390
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6868
118.7 IPS |
