MacBook Pro (16-inch, 2021)
Geekbench ML Score
6602
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2024 01:56 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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% |
4385
820.5 IPS |
|
|
Image Classification (F16)
|
100% |
4381
819.8 IPS |
|
|
Image Classification (I8)
|
99% |
3801
711.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1573
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1560
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
51692
62.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
55057
66.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
53115
64.3 IPS |
|
|
Object Detection (F32)
|
100% |
3385
252.7 IPS |
|
|
Object Detection (F16)
|
100% |
3446
257.3 IPS |
|
|
Object Detection (I8)
|
97% |
3057
228.2 IPS |
|
|
Face Detection (F32)
|
100% |
17019
202.4 IPS |
|
|
Face Detection (F16)
|
97% |
16555
196.8 IPS |
|
|
Face Detection (I8)
|
96% |
15282
181.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
24767
192.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
25667
199.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
22803
176.8 IPS |
|
|
Style Transfer (F32)
|
100% |
88478
116.4 IPS |
|
|
Style Transfer (F16)
|
100% |
108963
143.3 IPS |
|
|
Style Transfer (I8)
|
100% |
89993
118.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11528
411.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10663
380.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10242
365.8 IPS |
|
|
Text Classification (F32)
|
100% |
405
582.1 IPS |
|
|
Text Classification (F16)
|
100% |
522
750.3 IPS |
|
|
Text Classification (I8)
|
96% |
472
678.4 IPS |
|
|
Machine Translation (F32)
|
100% |
757
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
742
13.7 IPS |
|
|
Machine Translation (I8)
|
99% |
665
12.2 IPS |
