MacBook Pro (16-inch, 2021)
Geekbench AI Score
8719
Single Precision Score
9687
Half Precision Score
9028
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4069
756.7 IPS |
|
|
Image Classification (HP)
|
100% |
4169
775.3 IPS |
|
|
Image Classification (Q)
|
96% |
3882
724.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7382
119.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7516
121.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7160
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32918
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36040
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34657
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3995
316.9 IPS |
|
|
Object Detection (HP)
|
100% |
4064
322.4 IPS |
|
|
Object Detection (Q)
|
92% |
3878
309.6 IPS |
|
|
Face Detection (SP)
|
100% |
14180
168.5 IPS |
|
|
Face Detection (HP)
|
100% |
14783
175.7 IPS |
|
|
Face Detection (Q)
|
100% |
12829
152.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19923
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18984
146.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17511
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53861
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64885
83.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63291
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10807
399.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11600
428.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9996
369.1 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4163
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1794
30.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1628
28.1 IPS |
