MacBook Pro (16-inch, 2021)
Geekbench AI Score
3582
Single Precision Score
5993
Half Precision Score
4794
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2062
383.4 IPS |
|
|
Image Classification (Q)
|
96% |
1490
278.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10403
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22750
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17697
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2368
188.5 IPS |
|
|
Object Detection (Q)
|
94% |
1709
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5441
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10403
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7116
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21857
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35098
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28034
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4025
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2995
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5155
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5163
89.2 IPS |
