Mac mini (2024)
Geekbench AI Score
4728
Single Precision Score
36824
Half Precision Score
51936
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | katzecz |
| Upload Date | December 06 2024 10:04 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
17375
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
27163
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21655
351.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28992
470.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123981
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233581
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
18496
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26702
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
43898
521.6 IPS |
|
|
Face Detection (Q)
|
100% |
60712
721.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8405
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100329
773.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
169469
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25409
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235421
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299375
386.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49879
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83330
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6249
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6211
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18236
315.1 IPS |
