MacBook Pro (16-inch, 2021)
Geekbench AI Score
6916
Single Precision Score
7103
Half Precision Score
2356
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jwillemsen |
| Upload Date | September 06 2024 08:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3696
687.4 IPS |
|
|
Image Classification (HP)
|
100% |
3733
694.2 IPS |
|
|
Image Classification (Q)
|
97% |
2990
558.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6018
97.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6118
99.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5907
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32810
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34214
39.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
30772
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
3750
297.4 IPS |
|
|
Object Detection (HP)
|
100% |
3896
309.1 IPS |
|
|
Object Detection (Q)
|
92% |
3024
241.4 IPS |
|
|
Face Detection (SP)
|
100% |
12576
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
13138
156.1 IPS |
|
|
Face Detection (Q)
|
100% |
9208
109.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19718
151.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19956
153.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53334
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
63040
81.0 IPS |
|
|
Style Transfer (Q)
|
96% |
59666
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10881
401.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11801
435.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8700
321.3 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.8 IPS |
|
|
Text Classification (HP)
|
100% |
647
863.0 IPS |
|
|
Text Classification (Q)
|
93% |
660
886.2 IPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1017
17.6 IPS |
