Mac16,13
Geekbench AI Score
4735
Single Precision Score
7746
Half Precision Score
6244
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 03:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2036
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.4 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3533
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19415
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16568
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.5 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4011
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7137
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
4251
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8523
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14484
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10092
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21205
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38115
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31659
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5043
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5282
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5231
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6696
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.7 IPS |
