Mac mini (2024)
Geekbench AI Score
4852
Single Precision Score
36682
Half Precision Score
51879
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 11:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
17494
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25464
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21988
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30167
489.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123331
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231940
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
18381
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26271
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
44071
523.7 IPS |
|
|
Face Detection (Q)
|
100% |
63214
751.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99266
764.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167726
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21855
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234814
301.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299259
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49704
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83551
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16450
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18369
317.4 IPS |
