MacBook Pro (16-inch, 2021)
Geekbench ML Score
3006
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 06:27 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.12 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% |
1249
233.7 IPS |
|
|
Image Classification (F16)
|
100% |
1588
297.2 IPS |
|
|
Image Classification (I8)
|
99% |
1591
297.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
769
12.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
766
12.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5432
6.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
12521
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12544
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
1273
95.1 IPS |
|
|
Object Detection (F16)
|
100% |
1728
129.0 IPS |
|
|
Object Detection (I8)
|
97% |
1272
95.0 IPS |
|
|
Face Detection (F32)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (F16)
|
97% |
3872
46.0 IPS |
|
|
Face Detection (I8)
|
97% |
3891
46.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4925
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7791
60.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
7794
60.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14539
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23288
30.6 IPS |
|
|
Style Transfer (I8)
|
100% |
23298
30.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3438
122.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4697
167.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4669
166.7 IPS |
|
|
Text Classification (F32)
|
100% |
2054
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3341
4.80 KIPS |
|
|
Text Classification (I8)
|
96% |
3318
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
675
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
888
16.3 IPS |
|
|
Machine Translation (I8)
|
99% |
674
12.4 IPS |
