MacBook Pro (16-inch, 2021)
Geekbench ML Score
8503
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4706
880.7 IPS |
|
|
Image Classification (F16)
|
100% |
7199
1.35 KIPS |
|
|
Image Classification (I8)
|
99% |
7534
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1550
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1476
24.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1462
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
52347
63.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
64743
78.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
66354
80.4 IPS |
|
|
Object Detection (F32)
|
100% |
3492
260.7 IPS |
|
|
Object Detection (F16)
|
100% |
4327
323.0 IPS |
|
|
Object Detection (I8)
|
97% |
3281
244.9 IPS |
|
|
Face Detection (F32)
|
100% |
17199
204.5 IPS |
|
|
Face Detection (F16)
|
97% |
10304
122.5 IPS |
|
|
Face Detection (I8)
|
96% |
10594
126.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
25122
194.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
39266
304.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
39869
309.2 IPS |
|
|
Style Transfer (F32)
|
100% |
90759
119.4 IPS |
|
|
Style Transfer (F16)
|
100% |
108798
143.1 IPS |
|
|
Style Transfer (I8)
|
100% |
115885
152.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11515
411.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17808
636.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16231
579.7 IPS |
|
|
Text Classification (F32)
|
100% |
799
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
2001
2.88 KIPS |
|
|
Text Classification (I8)
|
96% |
2070
2.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
828
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1507
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
698
12.8 IPS |
