Mac16,1
Geekbench AI Score
4741
Single Precision Score
7861
Half Precision Score
6347
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | burakozaydin |
| Upload Date | November 09 2024 08:02 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3386
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3760
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18984
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16530
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3768
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7503
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4436
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14731
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10263
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25315
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38463
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31936
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6680
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4811
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5834
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5623
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6817
117.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6816
117.8 IPS |
