MacBook Pro (16-inch, 2021)
Geekbench AI Score
3600
Single Precision Score
6003
Half Precision Score
4816
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | February 27 2026 02:51 PM |
| Views | 7 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2060
383.1 IPS |
|
|
Image Classification (Q)
|
96% |
1493
278.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2619
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10457
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
23033
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17827
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10551
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7301
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22091
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35089
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28063
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5501
203.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4040
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5140
88.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5173
89.4 IPS |
