Mac mini (2024)
Geekbench AI Score
9984
Single Precision Score
11545
Half Precision Score
10804
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 04:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4599
855.2 IPS |
|
|
Image Classification (HP)
|
100% |
4920
915.0 IPS |
|
|
Image Classification (Q)
|
96% |
4717
880.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7539
122.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8062
130.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7891
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28574
33.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33209
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32189
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4815
381.9 IPS |
|
|
Object Detection (HP)
|
100% |
5363
425.4 IPS |
|
|
Object Detection (Q)
|
92% |
4935
393.9 IPS |
|
|
Face Detection (SP)
|
100% |
12738
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
17152
203.8 IPS |
|
|
Face Detection (Q)
|
100% |
13645
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20856
160.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23443
180.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21330
166.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59265
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72871
93.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69481
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11708
432.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12143
448.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10770
397.7 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5398
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5395
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3121
53.9 IPS |
