MacBook Pro (16-inch, 2021)
Geekbench ML Score
4073
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:50 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 3.14 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% |
1341
250.9 IPS |
|
|
Image Classification (F16)
|
100% |
1989
372.2 IPS |
|
|
Image Classification (I8)
|
99% |
2005
375.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
914
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1139
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1129
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
10584
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
21072
25.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
21218
25.7 IPS |
|
|
Object Detection (F32)
|
100% |
1449
108.2 IPS |
|
|
Object Detection (F16)
|
100% |
2062
153.9 IPS |
|
|
Object Detection (I8)
|
97% |
1474
110.0 IPS |
|
|
Face Detection (F32)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (F16)
|
97% |
5146
61.2 IPS |
|
|
Face Detection (I8)
|
97% |
5186
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5872
45.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10754
83.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10847
84.1 IPS |
|
|
Style Transfer (F32)
|
100% |
21517
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
34019
44.7 IPS |
|
|
Style Transfer (I8)
|
100% |
32455
42.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4523
161.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6317
225.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6516
232.7 IPS |
|
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3572
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3544
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1241
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1432
26.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1244
22.9 IPS |
