MacBook Pro (16-inch, 2021)
Geekbench ML Score
8003
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 24 2024 06:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3624
678.1 IPS |
|
|
Image Classification (F16)
|
100% |
7026
1.31 KIPS |
|
|
Image Classification (I8)
|
99% |
7168
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1230
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3395
56.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3538
59.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
31147
37.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
61656
74.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
62761
76.0 IPS |
|
|
Object Detection (F32)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (F16)
|
100% |
4417
329.7 IPS |
|
|
Object Detection (I8)
|
97% |
2617
195.4 IPS |
|
|
Face Detection (F32)
|
100% |
11759
139.8 IPS |
|
|
Face Detection (F16)
|
97% |
10786
128.2 IPS |
|
|
Face Detection (I8)
|
96% |
10766
128.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
19085
148.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
36027
279.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
36660
284.3 IPS |
|
|
Style Transfer (F32)
|
100% |
50810
66.8 IPS |
|
|
Style Transfer (F16)
|
100% |
110960
146.0 IPS |
|
|
Style Transfer (I8)
|
100% |
116508
153.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8383
299.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17499
625.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17273
616.9 IPS |
|
|
Text Classification (F32)
|
100% |
473
679.4 IPS |
|
|
Text Classification (F16)
|
100% |
1851
2.66 KIPS |
|
|
Text Classification (I8)
|
96% |
1883
2.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
777
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2360
43.4 IPS |
|
|
Machine Translation (I8)
|
99% |
676
12.4 IPS |
