MacBook Pro (14-inch, 2021)
Geekbench ML Score
2486
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 07:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 2.43 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1055
197.4 IPS |
|
|
Image Classification (F16)
|
100% |
1312
245.4 IPS |
|
|
Image Classification (I8)
|
99% |
1307
244.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
634
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
609
10.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
601
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
4571
5.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
10638
12.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
10678
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1053
78.6 IPS |
|
|
Object Detection (F16)
|
100% |
1404
104.9 IPS |
|
|
Object Detection (I8)
|
97% |
1038
77.5 IPS |
|
|
Face Detection (F32)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (F16)
|
97% |
3219
38.3 IPS |
|
|
Face Detection (I8)
|
97% |
3195
38.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4220
32.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6513
50.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
6536
50.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12188
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
19323
25.4 IPS |
|
|
Style Transfer (I8)
|
100% |
19314
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2933
104.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3697
132.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3647
130.2 IPS |
|
|
Text Classification (F32)
|
100% |
1765
2.54 KIPS |
|
|
Text Classification (F16)
|
100% |
2801
4.03 KIPS |
|
|
Text Classification (I8)
|
96% |
2755
3.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
578
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
694
12.8 IPS |
|
|
Machine Translation (I8)
|
99% |
557
10.2 IPS |
