MacBook Pro (16-inch, 2021)
Geekbench AI Score
3632
Single Precision Score
5756
Half Precision Score
4646
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | March 11 2025 10:14 AM |
| Views | 5 |
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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
1982
368.6 IPS |
|
|
Image Classification (Q)
|
96% |
1413
263.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2653
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10908
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
22214
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17277
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2338
186.2 IPS |
|
|
Object Detection (Q)
|
94% |
1714
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3214
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5322
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3052
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10522
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7303
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21485
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33454
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25881
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4259
157.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6165
227.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3957
146.1 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3969
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3601
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
