MacBook Pro (16-inch, 2021)
Geekbench ML Score
8659
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 02:36 PM |
| Views | 1 |
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 | 3.21 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3919
733.4 IPS |
|
|
Image Classification (F16)
|
100% |
6643
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
6774
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1422
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1452
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
51315
62.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62382
75.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
63319
76.7 IPS |
|
|
Object Detection (F32)
|
100% |
3018
225.3 IPS |
|
|
Object Detection (F16)
|
100% |
3976
296.9 IPS |
|
|
Object Detection (I8)
|
97% |
2974
222.0 IPS |
|
|
Face Detection (F32)
|
100% |
14551
173.0 IPS |
|
|
Face Detection (F16)
|
97% |
11239
133.6 IPS |
|
|
Face Detection (I8)
|
96% |
10812
128.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
23899
185.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
27665
214.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
28673
222.4 IPS |
|
|
Style Transfer (F32)
|
100% |
73304
96.4 IPS |
|
|
Style Transfer (F16)
|
100% |
110944
145.9 IPS |
|
|
Style Transfer (I8)
|
100% |
115721
152.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10967
391.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22613
807.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22724
811.5 IPS |
|
|
Text Classification (F32)
|
100% |
2050
2.95 KIPS |
|
|
Text Classification (F16)
|
100% |
3516
5.05 KIPS |
|
|
Text Classification (I8)
|
96% |
3455
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
810
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1464
26.9 IPS |
|
|
Machine Translation (I8)
|
99% |
644
11.9 IPS |
