Mac16,1
Geekbench AI Score
4612
Single Precision Score
7730
Half Precision Score
6155
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | November 04 2024 09:11 PM |
| Views | 34 |
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% |
1966
365.6 IPS |
|
|
Image Classification (HP)
|
100% |
3239
602.4 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3361
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3614
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9829
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18980
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16268
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2646
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
3769
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7370
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4265
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8191
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13898
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9885
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23712
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38026
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31186
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5784
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6857
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4811
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6810
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6679
115.4 IPS |
