Mac16,1
Geekbench AI Score
4731
Single Precision Score
7791
Half Precision Score
6284
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
3287
611.2 IPS |
|
|
Image Classification (Q)
|
96% |
2302
430.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3370
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3716
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19023
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16498
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2729
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7519
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4396
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8318
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14683
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10239
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25298
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38358
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31850
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6682
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4801
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5280
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6880
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6869
118.7 IPS |
