MacBook Pro (16-inch, 2021)
Geekbench ML Score
2988
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 04:24 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 | 3.21 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% |
1262
236.2 IPS |
|
|
Image Classification (F16)
|
100% |
1598
299.0 IPS |
|
|
Image Classification (I8)
|
99% |
1592
298.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
788
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
791
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5451
6.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
12672
15.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12666
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
1276
95.3 IPS |
|
|
Object Detection (F16)
|
100% |
1715
128.1 IPS |
|
|
Object Detection (I8)
|
97% |
1286
96.0 IPS |
|
|
Face Detection (F32)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (F16)
|
97% |
3854
45.8 IPS |
|
|
Face Detection (I8)
|
97% |
3866
46.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5072
39.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7917
61.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
7891
61.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14557
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
23157
30.5 IPS |
|
|
Style Transfer (I8)
|
100% |
23165
30.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3450
123.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4232
151.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4212
150.4 IPS |
|
|
Text Classification (F32)
|
100% |
2025
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3251
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3262
4.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
649
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
646
11.9 IPS |
