Mac16,10
Geekbench AI Score
4768
Single Precision Score
7834
Half Precision Score
6333
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pu154r |
| Upload Date | November 14 2024 05:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
3318
617.1 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19062
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16587
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3793
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7564
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4492
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8399
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14860
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10349
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38593
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32078
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5797
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6885
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4787
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3117
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5493
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6941
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6976
120.6 IPS |
