MacBook Pro (16-inch, 2021)
Geekbench AI Score
9742
Single Precision Score
9535
Half Precision Score
8376
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | supercurio |
| Upload Date | August 18 2024 11:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4554
847.0 IPS |
|
|
Image Classification (HP)
|
100% |
4617
858.7 IPS |
|
|
Image Classification (Q)
|
99% |
3957
738.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9310
150.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9326
151.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
9005
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
55884
65.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59034
68.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
51334
60.1 IPS |
|
|
Object Detection (SP)
|
100% |
4769
378.3 IPS |
|
|
Object Detection (HP)
|
100% |
5013
397.7 IPS |
|
|
Object Detection (Q)
|
92% |
3899
311.2 IPS |
|
|
Face Detection (SP)
|
100% |
17798
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
18401
218.6 IPS |
|
|
Face Detection (Q)
|
100% |
12981
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25304
195.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26322
202.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
26084
201.7 IPS |
|
|
Style Transfer (SP)
|
100% |
95777
123.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117896
151.6 IPS |
|
|
Style Transfer (Q)
|
100% |
115553
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16664
615.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17226
636.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13009
481.9 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
508
677.9 IPS |
|
|
Text Classification (Q)
|
93% |
502
673.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
933
16.1 IPS |
