Mac16,1
Geekbench AI Score
4757
Single Precision Score
7802
Half Precision Score
6313
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 06:09 PM |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3295
612.7 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3395
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3757
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9990
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18992
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16529
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7378
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4394
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14724
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10272
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25324
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38594
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31906
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6647
245.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5464
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6814
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6823
117.9 IPS |
