Mac16,10
Geekbench AI Score
4753
Single Precision Score
7870
Half Precision Score
6347
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Peritus |
| Upload Date | November 29 2024 07:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.8 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3193
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10084
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19070
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16594
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
4029
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7723
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4513
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8426
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14846
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10387
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25484
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38524
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32069
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4781
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7006
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6962
120.3 IPS |
