Mac mini (2024)
Geekbench AI Score
4718
Single Precision Score
36917
Half Precision Score
52254
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | WilliamLu |
| Upload Date | March 08 2025 09:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
17989
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
25836
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21274
344.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30162
488.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124239
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233168
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
18470
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26522
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
43458
516.4 IPS |
|
|
Face Detection (Q)
|
100% |
63630
756.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8367
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99412
765.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171199
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25451
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235132
302.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301306
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49406
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83805
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6483
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6347
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16457
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18041
311.8 IPS |
