MacBook Pro (16-inch, 2021)
Geekbench AI Score
3391
Single Precision Score
5236
Half Precision Score
4269
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | himmallright |
| Upload Date | March 07 2025 09:31 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
1819
338.3 IPS |
|
|
Image Classification (Q)
|
96% |
1293
241.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2265
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9932
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20110
23.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15882
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
97% |
2141
170.5 IPS |
|
|
Object Detection (Q)
|
94% |
1552
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4758
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2691
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5329
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9954
76.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6737
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20031
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32128
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24079
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4163
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3760
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2919
50.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2940
50.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4524
78.2 IPS |
