MacBook Pro (14-inch, 2021)
Geekbench ML Score
2469
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 06:22 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 6 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% |
1053
197.1 IPS |
|
|
Image Classification (F16)
|
100% |
1319
246.9 IPS |
|
|
Image Classification (I8)
|
99% |
1309
245.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
632
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
602
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
606
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4505
5.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
10500
12.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
10629
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
1082
80.8 IPS |
|
|
Object Detection (F16)
|
100% |
1405
104.9 IPS |
|
|
Object Detection (I8)
|
97% |
1072
80.0 IPS |
|
|
Face Detection (F32)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (F16)
|
97% |
3205
38.1 IPS |
|
|
Face Detection (I8)
|
97% |
3188
37.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4225
32.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6523
50.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
6525
50.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12297
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
19206
25.3 IPS |
|
|
Style Transfer (I8)
|
100% |
19196
25.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2913
104.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3530
126.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3536
126.3 IPS |
|
|
Text Classification (F32)
|
100% |
1755
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
2808
4.04 KIPS |
|
|
Text Classification (I8)
|
96% |
2757
3.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
538
9.91 IPS |
|
|
Machine Translation (F16)
|
100% |
683
12.6 IPS |
|
|
Machine Translation (I8)
|
99% |
528
9.72 IPS |
