Mac16,13
Geekbench AI Score
4756
Single Precision Score
7828
Half Precision Score
6281
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 30 2025 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.5 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3120
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9820
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19373
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16561
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.9 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7212
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14474
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10096
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20974
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38127
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31389
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7232
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7343
126.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7132
123.3 IPS |
