Mac mini (2024)
Geekbench AI Score
4759
Single Precision Score
37735
Half Precision Score
53999
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | felixalex2025 |
| Upload Date | June 01 2025 04:03 AM |
| 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% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
18246
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
28827
5.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22056
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30368
492.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9832
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123364
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232650
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
19091
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27176
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4104
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
44918
533.7 IPS |
|
|
Face Detection (Q)
|
100% |
65057
773.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8535
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99998
770.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
172455
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21090
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235295
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
300180
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6039
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51753
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87941
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6740
9.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6942
9.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4359
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16755
288.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18524
320.1 IPS |
