Mac mini (2024)
Geekbench AI Score
4704
Single Precision Score
37309
Half Precision Score
52324
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | May 14 2025 08:25 PM |
| Views | 7 |
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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
17648
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
26875
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22056
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30275
490.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9719
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123103
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231002
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
18944
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26771
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
44998
534.7 IPS |
|
|
Face Detection (Q)
|
100% |
57520
683.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8471
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100635
775.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172335
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
20841
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233728
300.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299073
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50582
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86987
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6542
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6539
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16440
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18130
313.3 IPS |
