MacBook Pro (16-inch, 2021)
Geekbench AI Score
3671
Single Precision Score
5869
Half Precision Score
4712
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | deleavell |
| Upload Date | November 25 2025 04:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2016
375.0 IPS |
|
|
Image Classification (Q)
|
96% |
1494
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11254
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22349
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17460
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2295
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5747
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10212
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7089
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22028
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33868
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26419
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4328
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4044
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3075
53.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4831
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4838
83.6 IPS |
