Mac16,11
Geekbench AI Score
5728
Single Precision Score
8824
Half Precision Score
6863
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kode54 |
| Upload Date | November 17 2024 04:57 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.8 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3519
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18818
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31642
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24379
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
7725
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4624
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8625
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13993
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10102
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35092
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49155
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38315
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7003
258.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9486
350.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5769
99.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8544
147.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8576
148.2 IPS |
