Mac mini (2024)
Geekbench AI Score
4985
Single Precision Score
8117
Half Precision Score
6491
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | zero |
| Upload Date | January 09 2026 02:54 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2114
393.2 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3183
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3557
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19445
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16786
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7878
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4577
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8607
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14153
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24643
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39258
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32247
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6048
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7278
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4922
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5791
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4538
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8067
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8073
139.5 IPS |
