Mac16,12
Geekbench AI Score
4776
Single Precision Score
7852
Half Precision Score
6290
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 03:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.7 IPS |
|
|
Image Classification (Q)
|
96% |
2291
427.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2018
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3106
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9736
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19218
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16452
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2370
188.0 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7229
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4278
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8318
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13803
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9734
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22452
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38334
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31418
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5929
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7151
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5966
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7254
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7239
125.1 IPS |
