Mac16,12
Geekbench AI Score
4942
Single Precision Score
7985
Half Precision Score
6384
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nahid1024 |
| Upload Date | October 27 2025 06:22 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3190
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3501
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10088
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19425
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16636
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7619
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4383
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8474
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13962
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9836
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24360
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38671
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31742
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7130
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5022
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5651
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5684
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4571
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8013
138.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7971
137.7 IPS |
