Mac mini (2024)
Geekbench AI Score
4975
Single Precision Score
8077
Half Precision Score
6498
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | October 21 2025 03:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2133
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3176
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3565
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19407
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16767
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
7850
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4583
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8656
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14232
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10087
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24590
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39156
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32254
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4904
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5823
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8137
140.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8100
140.0 IPS |
