MacBook Pro (16-inch, 2021)
Geekbench AI Score
3833
Single Precision Score
16296
Half Precision Score
16318
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | crisrich58 |
| Upload Date | February 12 2025 05:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
6914
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6659
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9710
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10409
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11241
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
72062
84.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67882
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
1636
129.7 IPS |
|
|
Object Detection (HP)
|
99% |
7971
634.0 IPS |
|
|
Object Detection (Q)
|
91% |
7472
597.1 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
13765
163.6 IPS |
|
|
Face Detection (Q)
|
100% |
13809
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6004
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52348
403.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53540
418.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22912
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120988
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116528
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4541
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26277
970.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28490
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3870
66.9 IPS |
