Mac mini (2024)
Geekbench AI Score
4751
Single Precision Score
37154
Half Precision Score
52231
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 01:43 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
17814
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25590
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21296
345.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30364
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123881
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233442
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
18995
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26441
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3960
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
45120
536.1 IPS |
|
|
Face Detection (Q)
|
100% |
58025
689.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8397
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100912
777.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
169868
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25513
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230332
296.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299576
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5776
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50316
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86752
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6727
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16435
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18284
316.0 IPS |
