MacBook Pro (16-inch, 2021)
Geekbench AI Score
3672
Single Precision Score
5634
Half Precision Score
4652
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | December 08 2024 11:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
1966
365.5 IPS |
|
|
Image Classification (Q)
|
96% |
1463
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2293
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2652
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11108
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21700
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17102
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2315
184.3 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
4906
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3008
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10417
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7120
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21699
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32789
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25565
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6201
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4009
148.0 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3473
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
