MacBook Pro (16-inch, 2021)
Geekbench AI Score
3760
Single Precision Score
5944
Half Precision Score
4807
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 06:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (Q)
|
96% |
1511
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2733
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10891
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21892
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17414
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.4 IPS |
|
|
Object Detection (HP)
|
97% |
2437
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5509
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3089
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5886
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10791
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7105
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21748
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34684
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27983
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4438
163.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6401
236.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4182
154.4 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3797
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4982
86.1 IPS |
