MacBook Pro (16-inch, 2021)
Geekbench AI Score
3609
Single Precision Score
5978
Half Precision Score
4809
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wolemacintosha |
| Upload Date | March 15 2026 12:08 PM |
| Views | 4 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.1 IPS |
|
|
Image Classification (Q)
|
96% |
1502
280.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10479
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23065
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17656
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2364
188.2 IPS |
|
|
Object Detection (Q)
|
94% |
1731
138.0 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5487
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10448
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7281
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22123
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35209
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28074
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4113
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5424
200.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4040
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4111
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4111
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5147
88.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5141
88.8 IPS |
