MacBook Pro (16-inch, 2021)
Geekbench AI Score
10100
Single Precision Score
9582
Half Precision Score
8943
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Reuben0 |
| Upload Date | August 15 2024 05:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4874
906.5 IPS |
|
|
Image Classification (HP)
|
100% |
4838
899.7 IPS |
|
|
Image Classification (Q)
|
99% |
4202
783.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9562
155.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9757
158.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
9314
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56685
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59881
69.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
51821
60.7 IPS |
|
|
Object Detection (SP)
|
100% |
5034
399.3 IPS |
|
|
Object Detection (HP)
|
100% |
4721
374.4 IPS |
|
|
Object Detection (Q)
|
92% |
4075
325.2 IPS |
|
|
Face Detection (SP)
|
100% |
18644
221.5 IPS |
|
|
Face Detection (HP)
|
100% |
19472
231.4 IPS |
|
|
Face Detection (Q)
|
100% |
13500
160.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26708
205.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27018
208.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
27362
211.6 IPS |
|
|
Style Transfer (SP)
|
100% |
94853
121.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120097
154.4 IPS |
|
|
Style Transfer (Q)
|
100% |
117947
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17425
643.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17880
660.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13198
488.9 IPS |
|
|
Text Classification (SP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
478
638.0 IPS |
|
|
Text Classification (Q)
|
93% |
734
984.7 IPS |
|
|
Machine Translation (SP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
939
16.2 IPS |
