MacBook Pro (16-inch, 2021)
Geekbench AI Score
10554
Single Precision Score
11669
Half Precision Score
9172
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | owine |
| Upload Date | August 16 2024 03:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4960
922.4 IPS |
|
|
Image Classification (HP)
|
100% |
4950
920.6 IPS |
|
|
Image Classification (Q)
|
99% |
4346
810.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10063
163.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10484
169.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
9560
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56705
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
60139
70.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
52596
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
4238
336.1 IPS |
|
|
Object Detection (HP)
|
100% |
4503
357.2 IPS |
|
|
Object Detection (Q)
|
91% |
3750
299.7 IPS |
|
|
Face Detection (SP)
|
100% |
20070
238.5 IPS |
|
|
Face Detection (HP)
|
100% |
21969
261.0 IPS |
|
|
Face Detection (Q)
|
100% |
14893
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26381
203.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27386
211.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
6394
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96005
123.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120098
154.4 IPS |
|
|
Style Transfer (Q)
|
100% |
117861
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16427
606.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16734
617.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12131
449.4 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3774
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
