MacBook Pro (16-inch, 2021)
Geekbench AI Score
3621
Single Precision Score
5995
Half Precision Score
4831
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tsteele2013 |
| Upload Date | April 09 2026 07:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1336
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
2052
381.5 IPS |
|
|
Image Classification (Q)
|
96% |
1500
280.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10562
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23104
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17793
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2372
188.8 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5455
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10572
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7304
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22120
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35115
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28028
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4145
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5543
204.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4051
149.6 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4116
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5134
88.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5181
89.5 IPS |
