Mac mini (2024)
Geekbench AI Score
4859
Single Precision Score
36798
Half Precision Score
52069
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | May 18 2025 07:38 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
17197
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
29261
5.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22192
359.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30053
487.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123265
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232341
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
100% |
18408
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26191
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4348
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
43459
516.4 IPS |
|
|
Face Detection (Q)
|
100% |
55276
656.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8759
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99546
766.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166829
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22192
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235752
303.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299735
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50111
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85727
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6197
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6340
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16602
286.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18225
315.0 IPS |
