Mac mini (2024)
Geekbench AI Score
4752
Single Precision Score
37177
Half Precision Score
52018
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EASYGEEK-6 |
| Upload Date | December 30 2024 09:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
17983
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
26139
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22060
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30287
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123802
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233173
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
18358
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25893
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
43185
513.1 IPS |
|
|
Face Detection (Q)
|
100% |
61860
735.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100249
772.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
172078
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25443
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235356
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298823
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5767
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49524
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85230
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6690
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6153
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16573
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18193
314.4 IPS |
