Mac mini (2024)
Geekbench AI Score
5781
Single Precision Score
36680
Half Precision Score
49569
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 11 2024 04:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
17494
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22170
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22981
372.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31921
517.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18911
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123505
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232019
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (HP)
|
100% |
19988
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23857
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
44736
531.6 IPS |
|
|
Face Detection (Q)
|
100% |
64580
767.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8933
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111838
861.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177771
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35804
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
239079
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303442
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7040
260.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46275
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78416
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4927
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5132
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16289
280.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16311
281.9 IPS |
