MacBook Pro (16-inch, 2021)
Geekbench AI Score
3638
Single Precision Score
6041
Half Precision Score
4841
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | February 20 2026 12:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (Q)
|
96% |
1507
281.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2623
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10540
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23057
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17793
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2338
186.1 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
5520
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3195
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10568
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7332
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22208
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35122
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28073
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5699
210.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4214
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3059
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5135
88.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5138
88.8 IPS |
