MacBook Pro (16-inch, 2021)
Geekbench ML Score
7779
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 23 2024 08:34 AM |
| Views | 9 |
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% |
3646
682.2 IPS |
|
|
Image Classification (F16)
|
100% |
6692
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
7115
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1275
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3473
58.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
3400
56.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
31480
38.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62352
75.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
62982
76.3 IPS |
|
|
Object Detection (F32)
|
100% |
2840
212.0 IPS |
|
|
Object Detection (F16)
|
100% |
3970
296.4 IPS |
|
|
Object Detection (I8)
|
97% |
2689
200.7 IPS |
|
|
Face Detection (F32)
|
100% |
11802
140.3 IPS |
|
|
Face Detection (F16)
|
97% |
10775
128.1 IPS |
|
|
Face Detection (I8)
|
96% |
10769
128.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
17906
138.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36326
281.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
34945
271.0 IPS |
|
|
Style Transfer (F32)
|
100% |
51497
67.7 IPS |
|
|
Style Transfer (F16)
|
100% |
111832
147.1 IPS |
|
|
Style Transfer (I8)
|
100% |
114842
151.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7985
285.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16073
574.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15118
539.9 IPS |
|
|
Text Classification (F32)
|
100% |
462
664.5 IPS |
|
|
Text Classification (F16)
|
100% |
1908
2.74 KIPS |
|
|
Text Classification (I8)
|
96% |
1826
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
615
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2376
43.7 IPS |
|
|
Machine Translation (I8)
|
99% |
581
10.7 IPS |
