MacBook Pro (16-inch, 2021)
Geekbench AI Score
3598
Single Precision Score
5981
Half Precision Score
4820
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 06 2025 05:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
2068
384.6 IPS |
|
|
Image Classification (Q)
|
96% |
1501
280.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2261
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2611
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10495
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23035
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17707
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2373
188.9 IPS |
|
|
Object Detection (Q)
|
94% |
1731
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5308
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3195
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5559
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10565
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7289
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22096
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35331
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27990
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5540
204.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4035
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5120
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5172
89.4 IPS |
