Mac16,12
Geekbench AI Score
4678
Single Precision Score
38061
Half Precision Score
53095
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 24 2025 01:50 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
18666
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
28786
5.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22100
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30234
490.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9910
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123546
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232777
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
18726
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26035
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
43655
518.7 IPS |
|
|
Face Detection (Q)
|
100% |
57146
679.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100094
771.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171530
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24984
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234326
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298020
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49590
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89505
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
7736
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
6926
9.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17021
293.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18642
322.2 IPS |
