MacBook Pro (14-inch, 2021)
Geekbench ML Score
2937
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | andrewlehmann |
| Upload Date | May 21 2024 09:47 PM |
| Views | 5 |
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, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 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% |
1262
236.2 IPS |
|
|
Image Classification (F16)
|
100% |
1619
303.0 IPS |
|
|
Image Classification (I8)
|
99% |
1612
301.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
710
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
704
11.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
707
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5422
6.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
12557
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12533
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
1242
92.7 IPS |
|
|
Object Detection (F16)
|
100% |
1681
125.5 IPS |
|
|
Object Detection (I8)
|
97% |
1254
93.6 IPS |
|
|
Face Detection (F32)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (F16)
|
97% |
3819
45.4 IPS |
|
|
Face Detection (I8)
|
97% |
3785
45.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4992
38.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7755
60.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7826
60.7 IPS |
|
|
Style Transfer (F32)
|
100% |
14480
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
22653
29.8 IPS |
|
|
Style Transfer (I8)
|
100% |
22711
29.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3397
121.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4128
147.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4364
155.9 IPS |
|
|
Text Classification (F32)
|
100% |
2066
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3307
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3291
4.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
655
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
646
11.9 IPS |
