Mac16,12
Geekbench AI Score
4976
Single Precision Score
8035
Half Precision Score
6432
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 09:36 AM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.6 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3164
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3553
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19417
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16660
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4268
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7720
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4455
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14050
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9936
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24369
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38777
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31783
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6103
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7045
260.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5967
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5779
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8080
139.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8015
138.5 IPS |
