MacBook Pro (16-inch, 2021)
Geekbench ML Score
5161
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 10:02 AM |
| Views | 2 |
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 | 3.19 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3549
664.0 IPS |
|
|
Image Classification (F16)
|
100% |
3604
674.4 IPS |
|
|
Image Classification (I8)
|
99% |
3167
592.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1321
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1305
21.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1307
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
31589
38.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
32629
39.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
31804
38.5 IPS |
|
|
Object Detection (F32)
|
100% |
2806
209.5 IPS |
|
|
Object Detection (F16)
|
100% |
2907
217.0 IPS |
|
|
Object Detection (I8)
|
97% |
2678
200.0 IPS |
|
|
Face Detection (F32)
|
100% |
11787
140.2 IPS |
|
|
Face Detection (F16)
|
98% |
12277
146.0 IPS |
|
|
Face Detection (I8)
|
97% |
11465
136.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19059
147.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
19493
151.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
17557
136.2 IPS |
|
|
Style Transfer (F32)
|
100% |
50763
66.8 IPS |
|
|
Style Transfer (F16)
|
100% |
60496
79.6 IPS |
|
|
Style Transfer (I8)
|
100% |
55577
73.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9104
325.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8602
307.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7103
253.7 IPS |
|
|
Text Classification (F32)
|
100% |
398
572.7 IPS |
|
|
Text Classification (F16)
|
100% |
524
753.7 IPS |
|
|
Text Classification (I8)
|
96% |
477
686.0 IPS |
|
|
Machine Translation (F32)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
766
14.1 IPS |
|
|
Machine Translation (I8)
|
99% |
635
11.7 IPS |
