MacBook Pro (14-inch, 2021)
Geekbench ML Score
7150
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | August 19 2024 10:49 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3538
662.0 IPS |
|
|
Image Classification (F16)
|
100% |
6004
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
6273
1.17 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3303
55.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
3327
55.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
31075
37.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
62321
75.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
57745
69.9 IPS |
|
|
Object Detection (F32)
|
100% |
2571
192.0 IPS |
|
|
Object Detection (F16)
|
100% |
3573
266.8 IPS |
|
|
Object Detection (I8)
|
97% |
2423
180.9 IPS |
|
|
Face Detection (F32)
|
100% |
11381
135.3 IPS |
|
|
Face Detection (F16)
|
97% |
9644
114.7 IPS |
|
|
Face Detection (I8)
|
96% |
9775
116.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15250
118.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
34483
267.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
31656
245.5 IPS |
|
|
Style Transfer (F32)
|
100% |
49728
65.4 IPS |
|
|
Style Transfer (F16)
|
100% |
103791
136.5 IPS |
|
|
Style Transfer (I8)
|
100% |
113153
148.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7563
270.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16273
581.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13716
489.8 IPS |
|
|
Text Classification (F32)
|
100% |
332
477.7 IPS |
|
|
Text Classification (F16)
|
100% |
1842
2.65 KIPS |
|
|
Text Classification (I8)
|
96% |
1883
2.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
539
9.91 IPS |
|
|
Machine Translation (F16)
|
100% |
1835
33.8 IPS |
|
|
Machine Translation (I8)
|
99% |
518
9.52 IPS |
