MacBook Pro (16-inch, 2021)
Geekbench ML Score
6178
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 04:22 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 | 3.22 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4514
844.7 IPS |
|
|
Image Classification (F16)
|
100% |
4587
858.3 IPS |
|
|
Image Classification (I8)
|
99% |
3940
737.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1521
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1644
27.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1587
26.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
51641
62.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
47143
57.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
53309
64.6 IPS |
|
|
Object Detection (F32)
|
100% |
1639
122.4 IPS |
|
|
Object Detection (F16)
|
100% |
3529
263.4 IPS |
|
|
Object Detection (I8)
|
97% |
1530
114.2 IPS |
|
|
Face Detection (F32)
|
100% |
17324
206.0 IPS |
|
|
Face Detection (F16)
|
98% |
18165
216.0 IPS |
|
|
Face Detection (I8)
|
97% |
15551
184.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
24695
191.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
26105
202.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
23581
182.9 IPS |
|
|
Style Transfer (F32)
|
100% |
74509
98.0 IPS |
|
|
Style Transfer (F16)
|
100% |
83898
110.4 IPS |
|
|
Style Transfer (I8)
|
100% |
78070
102.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12720
454.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13681
488.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10576
377.7 IPS |
|
|
Text Classification (F32)
|
100% |
461
662.8 IPS |
|
|
Text Classification (F16)
|
100% |
394
566.3 IPS |
|
|
Text Classification (I8)
|
96% |
517
743.6 IPS |
|
|
Machine Translation (F32)
|
100% |
627
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
610
11.2 IPS |
|
|
Machine Translation (I8)
|
99% |
598
11.0 IPS |
