MacBook Pro (16-inch, 2021)
Geekbench AI Score
8865
Single Precision Score
9659
Half Precision Score
9053
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 12 2025 01:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4107
763.8 IPS |
|
|
Image Classification (HP)
|
100% |
4266
793.3 IPS |
|
|
Image Classification (Q)
|
96% |
3959
739.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7333
118.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7536
122.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7119
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32819
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35992
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34646
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3968
314.7 IPS |
|
|
Object Detection (HP)
|
100% |
4080
323.6 IPS |
|
|
Object Detection (Q)
|
92% |
3819
304.8 IPS |
|
|
Face Detection (SP)
|
100% |
13874
164.8 IPS |
|
|
Face Detection (HP)
|
100% |
14677
174.4 IPS |
|
|
Face Detection (Q)
|
100% |
12723
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19940
153.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19140
147.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
17495
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53992
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
64739
83.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63491
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10900
402.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11981
442.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10055
371.3 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4033
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2035
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1732
29.9 IPS |
