MacBook Pro (16-inch, 2021)
Geekbench AI Score
2499
Single Precision Score
3765
Half Precision Score
3251
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 12:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1147
213.4 IPS |
|
|
Image Classification (HP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (Q)
|
96% |
1089
203.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1021
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1441
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5086
5.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
12024
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10369
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
97% |
1697
135.1 IPS |
|
|
Object Detection (Q)
|
94% |
1313
104.7 IPS |
|
|
Face Detection (SP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
2278
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4565
35.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7127
55.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5317
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13350
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21460
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18206
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3085
113.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3044
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
2072
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3243
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2840
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2842
49.1 IPS |
