MacBook Pro (16-inch, 2021)
Geekbench ML Score
7889
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 09:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
3568
667.7 IPS |
|
|
Image Classification (F16)
|
100% |
6735
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
7026
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3500
58.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3362
56.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
29601
35.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
61738
74.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
62441
75.6 IPS |
|
|
Object Detection (F32)
|
100% |
2809
209.7 IPS |
|
|
Object Detection (F16)
|
100% |
4358
325.3 IPS |
|
|
Object Detection (I8)
|
97% |
2691
200.9 IPS |
|
|
Face Detection (F32)
|
100% |
11749
139.7 IPS |
|
|
Face Detection (F16)
|
97% |
10703
127.3 IPS |
|
|
Face Detection (I8)
|
96% |
10715
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19047
147.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
34314
266.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
35659
276.5 IPS |
|
|
Style Transfer (F32)
|
100% |
50836
66.9 IPS |
|
|
Style Transfer (F16)
|
100% |
108575
142.8 IPS |
|
|
Style Transfer (I8)
|
100% |
114925
151.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7661
273.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16355
584.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16604
593.0 IPS |
|
|
Text Classification (F32)
|
100% |
410
589.8 IPS |
|
|
Text Classification (F16)
|
100% |
1906
2.74 KIPS |
|
|
Text Classification (I8)
|
96% |
1861
2.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
812
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2437
44.8 IPS |
|
|
Machine Translation (I8)
|
99% |
685
12.6 IPS |
