MacBook Pro (16-inch, 2021)
Geekbench ML Score
4075
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1328
248.5 IPS |
|
|
Image Classification (F16)
|
100% |
2019
377.7 IPS |
|
|
Image Classification (I8)
|
99% |
2016
377.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
986
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1219
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1183
19.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10870
13.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
21500
26.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
20224
24.5 IPS |
|
|
Object Detection (F32)
|
100% |
1347
100.6 IPS |
|
|
Object Detection (F16)
|
100% |
1944
145.1 IPS |
|
|
Object Detection (I8)
|
97% |
1446
108.0 IPS |
|
|
Face Detection (F32)
|
100% |
3294
39.2 IPS |
|
|
Face Detection (F16)
|
97% |
5151
61.3 IPS |
|
|
Face Detection (I8)
|
97% |
4974
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5754
44.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10717
83.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10771
83.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21622
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
34824
45.8 IPS |
|
|
Style Transfer (I8)
|
100% |
34683
45.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4502
160.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6430
229.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6458
230.7 IPS |
|
|
Text Classification (F32)
|
100% |
2011
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3462
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3450
4.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1258
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1421
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1253
23.1 IPS |
