MacBook Pro (16-inch, 2021)
Geekbench AI Score
2736
Single Precision Score
4147
Half Precision Score
3447
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | edoardo_scarpel |
| Upload Date | August 18 2024 02:34 PM |
| Views | 6 |
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 | 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% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
1619
301.1 IPS |
|
|
Image Classification (Q)
|
99% |
1611
300.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5601
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
13103
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11192
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
1893
150.7 IPS |
|
|
Object Detection (Q)
|
94% |
1464
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
3897
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
2646
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5065
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7851
60.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
3589
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14622
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23528
30.2 IPS |
|
|
Style Transfer (Q)
|
100% |
23503
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3305
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4129
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3243
120.1 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3428
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3380
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3136
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3143
54.3 IPS |
