MacBook Pro (16-inch, 2021)
Geekbench AI Score
3591
Single Precision Score
5920
Half Precision Score
4768
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sanchorubyroid |
| Upload Date | March 11 2026 05:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2049
381.1 IPS |
|
|
Image Classification (Q)
|
96% |
1510
282.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2616
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10548
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
23047
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17666
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2164
172.3 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
3261
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
5475
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3056
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10436
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7295
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22135
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35314
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27971
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4107
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5712
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4058
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2879
49.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4933
85.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4862
84.0 IPS |
