Mac16,13
Geekbench AI Score
4808
Single Precision Score
7945
Half Precision Score
6340
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Degeho |
| Upload Date | September 12 2025 06:29 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3183
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3576
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9977
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19460
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16646
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2423
192.2 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4201
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7708
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4377
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8594
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14543
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10178
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21640
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38528
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31771
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6103
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5520
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7473
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7295
126.1 IPS |
