Mac16,12
Geekbench AI Score
4707
Single Precision Score
7770
Half Precision Score
6236
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | shadow269 |
| Upload Date | August 22 2025 12:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3323
617.9 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9670
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19266
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16426
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7015
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
4222
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8475
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14437
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10034
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20448
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38226
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31414
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5938
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7248
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5060
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5460
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4348
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6895
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6887
119.0 IPS |
