MacBook Pro (16-inch, 2021)
Geekbench ML Score
4072
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:11 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.22 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1334
249.7 IPS |
|
|
Image Classification (F16)
|
100% |
2022
378.3 IPS |
|
|
Image Classification (I8)
|
99% |
2024
378.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
966
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1213
20.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1123
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10425
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
20304
24.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
20136
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1453
108.5 IPS |
|
|
Object Detection (F16)
|
100% |
2058
153.7 IPS |
|
|
Object Detection (I8)
|
97% |
1475
110.1 IPS |
|
|
Face Detection (F32)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (F16)
|
97% |
5015
59.6 IPS |
|
|
Face Detection (I8)
|
97% |
5125
60.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5728
44.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10633
82.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10385
80.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21781
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
34634
45.6 IPS |
|
|
Style Transfer (I8)
|
100% |
34530
45.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4496
160.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6414
229.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6508
232.4 IPS |
|
|
Text Classification (F32)
|
100% |
2026
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3446
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3513
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1273
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1451
26.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1258
23.1 IPS |
