MacBook Pro (14-inch, 2021)
Geekbench ML Score
4831
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | August 19 2024 10:45 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3573
668.7 IPS |
|
|
Image Classification (F16)
|
100% |
3564
666.9 IPS |
|
|
Image Classification (I8)
|
99% |
3123
584.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1322
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1205
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
30993
37.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
32374
39.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
31198
37.8 IPS |
|
|
Object Detection (F32)
|
100% |
2599
194.0 IPS |
|
|
Object Detection (F16)
|
100% |
2650
197.9 IPS |
|
|
Object Detection (I8)
|
97% |
2418
180.5 IPS |
|
|
Face Detection (F32)
|
100% |
11455
136.2 IPS |
|
|
Face Detection (F16)
|
98% |
11626
138.2 IPS |
|
|
Face Detection (I8)
|
97% |
11184
133.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15770
122.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19393
150.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
17490
135.6 IPS |
|
|
Style Transfer (F32)
|
100% |
49785
65.5 IPS |
|
|
Style Transfer (F16)
|
100% |
60466
79.5 IPS |
|
|
Style Transfer (I8)
|
100% |
55784
73.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7780
277.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8474
302.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7685
274.5 IPS |
|
|
Text Classification (F32)
|
100% |
447
641.7 IPS |
|
|
Text Classification (F16)
|
100% |
460
661.5 IPS |
|
|
Text Classification (I8)
|
96% |
411
590.1 IPS |
|
|
Machine Translation (F32)
|
100% |
533
9.81 IPS |
|
|
Machine Translation (F16)
|
100% |
534
9.83 IPS |
|
|
Machine Translation (I8)
|
99% |
522
9.60 IPS |
