Mac16,11
Geekbench AI Score
5752
Single Precision Score
8810
Half Precision Score
6913
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | November 27 2024 02:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
2949
548.4 IPS |
|
|
Image Classification (Q)
|
96% |
2158
403.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3545
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3955
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18806
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30601
35.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23487
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3846
306.2 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7363
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4610
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14085
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10017
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35415
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49307
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38058
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9602
354.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5725
211.4 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5330
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5285
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5764
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8754
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8797
152.0 IPS |
