MacBook Pro (14-inch, 2021)
Geekbench ML Score
4161
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5298h) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1364
255.2 IPS |
|
|
Image Classification (F16)
|
100% |
2069
387.1 IPS |
|
|
Image Classification (I8)
|
99% |
2045
382.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
901
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1093
18.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1081
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10759
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
21375
25.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
21186
25.7 IPS |
|
|
Object Detection (F32)
|
100% |
1510
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
2107
157.3 IPS |
|
|
Object Detection (I8)
|
97% |
1508
112.6 IPS |
|
|
Face Detection (F32)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (F16)
|
97% |
5363
63.8 IPS |
|
|
Face Detection (I8)
|
97% |
5373
63.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5962
46.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11084
86.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10986
85.2 IPS |
|
|
Style Transfer (F32)
|
100% |
22634
29.8 IPS |
|
|
Style Transfer (F16)
|
100% |
35850
47.2 IPS |
|
|
Style Transfer (I8)
|
100% |
35732
47.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4690
167.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6735
240.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6725
240.2 IPS |
|
|
Text Classification (F32)
|
100% |
2066
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3506
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3480
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1282
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1467
27.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1282
23.6 IPS |
