MacBook Pro (14-inch, 2021)
Geekbench ML Score
2936
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 09:39 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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 | 3.21 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1246
233.2 IPS |
|
|
Image Classification (F16)
|
100% |
1571
294.1 IPS |
|
|
Image Classification (I8)
|
99% |
1582
296.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
737
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
696
11.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
707
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5384
6.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
12517
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12442
15.1 IPS |
|
|
Object Detection (F32)
|
100% |
1217
90.8 IPS |
|
|
Object Detection (F16)
|
100% |
1679
125.4 IPS |
|
|
Object Detection (I8)
|
97% |
1240
92.6 IPS |
|
|
Face Detection (F32)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (F16)
|
97% |
3924
46.7 IPS |
|
|
Face Detection (I8)
|
97% |
3916
46.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4985
38.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7804
60.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
7829
60.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14283
18.8 IPS |
|
|
Style Transfer (F16)
|
100% |
22887
30.1 IPS |
|
|
Style Transfer (I8)
|
100% |
23150
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3365
120.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4331
154.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4263
152.2 IPS |
|
|
Text Classification (F32)
|
100% |
2042
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3225
4.64 KIPS |
|
|
Text Classification (I8)
|
96% |
3257
4.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
665
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
868
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
662
12.2 IPS |
