MacBook Pro (16-inch, 2021)
Geekbench ML Score
1769
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2024 02:00 PM |
| Views | 5 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
944
176.6 IPS |
|
|
Image Classification (F16)
|
100% |
930
174.1 IPS |
|
|
Image Classification (I8)
|
99% |
918
171.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
8.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
464
7.75 IPS |
|
|
Image Segmentation (I8)
|
100% |
464
7.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
9646
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
13445
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
13535
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1043
77.9 IPS |
|
|
Object Detection (F16)
|
100% |
1032
77.1 IPS |
|
|
Object Detection (I8)
|
97% |
1039
77.6 IPS |
|
|
Face Detection (F32)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (F16)
|
100% |
1697
20.2 IPS |
|
|
Face Detection (I8)
|
99% |
1726
20.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3247
25.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3054
23.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
3041
23.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12286
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12849
16.9 IPS |
|
|
Style Transfer (I8)
|
100% |
12833
16.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2209
78.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1930
68.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1920
68.6 IPS |
|
|
Text Classification (F32)
|
100% |
310
445.2 IPS |
|
|
Text Classification (F16)
|
100% |
484
695.2 IPS |
|
|
Text Classification (I8)
|
96% |
485
697.0 IPS |
|
|
Machine Translation (F32)
|
100% |
901
16.6 IPS |
|
|
Machine Translation (F16)
|
99% |
989
18.2 IPS |
|
|
Machine Translation (I8)
|
99% |
846
15.6 IPS |
