MacBook Pro (16-inch, 2021)
Geekbench ML Score
8206
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 20 2024 09:58 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4725
884.1 IPS |
|
|
Image Classification (F16)
|
100% |
6986
1.31 KIPS |
|
|
Image Classification (I8)
|
99% |
7430
1.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1600
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1451
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
47987
58.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62783
76.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
62722
76.0 IPS |
|
|
Object Detection (F32)
|
100% |
3555
265.4 IPS |
|
|
Object Detection (F16)
|
100% |
4040
301.6 IPS |
|
|
Object Detection (I8)
|
97% |
3368
251.5 IPS |
|
|
Face Detection (F32)
|
100% |
16929
201.3 IPS |
|
|
Face Detection (F16)
|
97% |
10291
122.4 IPS |
|
|
Face Detection (I8)
|
96% |
10690
127.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
26125
202.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
27052
209.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
33431
259.3 IPS |
|
|
Style Transfer (F32)
|
100% |
74469
98.0 IPS |
|
|
Style Transfer (F16)
|
100% |
111299
146.4 IPS |
|
|
Style Transfer (I8)
|
100% |
117751
154.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11894
424.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17671
631.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16903
603.6 IPS |
|
|
Text Classification (F32)
|
100% |
1039
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (I8)
|
96% |
2081
2.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
632
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1315
24.2 IPS |
|
|
Machine Translation (I8)
|
99% |
606
11.2 IPS |
