Mac mini (2024)
Geekbench AI Score
4829
Single Precision Score
36892
Half Precision Score
51383
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | May 28 2025 01:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
18188
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
25086
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21927
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30159
488.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123156
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231891
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
18975
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
25917
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
41246
490.1 IPS |
|
|
Face Detection (Q)
|
100% |
56218
668.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8708
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99381
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
168720
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234333
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
299688
386.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49948
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83688
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6239
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6470
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16743
288.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18334
316.8 IPS |
