MacBook Pro (16-inch, 2021)
Geekbench AI Score
2669
Single Precision Score
4093
Half Precision Score
3579
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 12:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
1235
229.6 IPS |
|
|
Image Classification (HP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (Q)
|
96% |
1204
224.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1660
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5485
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
12841
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11161
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
1841
146.6 IPS |
|
|
Object Detection (Q)
|
94% |
1444
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
3858
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
2561
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7685
59.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5937
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14503
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22951
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19899
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3252
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3600
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3028
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3015
52.1 IPS |
