Mac16,10
Geekbench AI Score
1864
Single Precision Score
3124
Half Precision Score
2521
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 23 2024 07:59 AM |
| Views | 2 |
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 | 2.88 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
1286
239.1 IPS |
|
|
Image Classification (Q)
|
96% |
912
170.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1629
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8131
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5692
6.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
4739
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
887
70.4 IPS |
|
|
Object Detection (HP)
|
97% |
1514
120.5 IPS |
|
|
Object Detection (Q)
|
94% |
1143
91.1 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1839
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2830
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5596
43.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
3982
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6837
8.79 IPS |
|
|
Style Transfer (HP)
|
100% |
12382
15.9 IPS |
|
|
Style Transfer (Q)
|
96% |
10424
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1882
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2370
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1858
68.6 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3457
4.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2701
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2638
45.6 IPS |
