MacBook Pro (14-inch, 2021)
Geekbench ML Score
5813
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | January 05 2025 01:36 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
3532
661.0 IPS |
|
|
Image Classification (F16)
|
100% |
3460
647.4 IPS |
|
|
Image Classification (I8)
|
99% |
3464
648.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1140
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1221
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1177
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
29851
36.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
32062
38.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
32355
39.2 IPS |
|
|
Object Detection (F32)
|
100% |
2656
198.3 IPS |
|
|
Object Detection (F16)
|
100% |
2686
200.5 IPS |
|
|
Object Detection (I8)
|
97% |
2625
196.0 IPS |
|
|
Face Detection (F32)
|
100% |
11069
131.6 IPS |
|
|
Face Detection (F16)
|
98% |
10748
127.8 IPS |
|
|
Face Detection (I8)
|
97% |
10754
127.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18630
144.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18833
146.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
19012
147.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50396
66.3 IPS |
|
|
Style Transfer (F16)
|
100% |
55863
73.5 IPS |
|
|
Style Transfer (I8)
|
100% |
56749
74.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7707
275.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7979
285.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8260
295.0 IPS |
|
|
Text Classification (F32)
|
100% |
1809
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
2993
4.30 KIPS |
|
|
Text Classification (I8)
|
96% |
2981
4.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
642
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
640
11.8 IPS |
|
|
Machine Translation (I8)
|
99% |
464
8.54 IPS |
