MacBook Pro (16-inch, 2021)
Geekbench ML Score
8057
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 05 2024 12:05 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D5033f) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4411
825.3 IPS |
|
|
Image Classification (F16)
|
100% |
6501
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
7011
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1404
23.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1447
24.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
51269
62.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62122
75.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
63093
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
3096
231.2 IPS |
|
|
Object Detection (F16)
|
100% |
4392
327.9 IPS |
|
|
Object Detection (I8)
|
97% |
2958
220.8 IPS |
|
|
Face Detection (F32)
|
100% |
16633
197.8 IPS |
|
|
Face Detection (F16)
|
97% |
18799
223.5 IPS |
|
|
Face Detection (I8)
|
96% |
19020
226.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
24013
186.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
32896
255.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
34434
267.0 IPS |
|
|
Style Transfer (F32)
|
100% |
86391
113.6 IPS |
|
|
Style Transfer (F16)
|
100% |
111458
146.6 IPS |
|
|
Style Transfer (I8)
|
100% |
116284
153.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11162
398.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17286
617.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16243
580.1 IPS |
|
|
Text Classification (F32)
|
100% |
323
464.6 IPS |
|
|
Text Classification (F16)
|
100% |
1641
2.36 KIPS |
|
|
Text Classification (I8)
|
96% |
1695
2.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
691
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1297
23.9 IPS |
|
|
Machine Translation (I8)
|
99% |
644
11.8 IPS |
