Mac mini (2024)
Geekbench AI Score
4823
Single Precision Score
36985
Half Precision Score
51996
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 05:09 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.1 IPS |
|
|
Image Classification (HP)
|
100% |
18116
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26843
5.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22071
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30510
494.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9899
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123401
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231831
271.7 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
18378
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26737
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
44470
528.4 IPS |
|
|
Face Detection (Q)
|
100% |
56038
665.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99790
768.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
170102
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21859
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
231977
298.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298921
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6138
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50553
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86003
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6076
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16706
287.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18411
318.2 IPS |
