MacBook Pro (16-inch, 2021)
Geekbench AI Score
8904
Single Precision Score
9887
Half Precision Score
9207
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | deleavell |
| Upload Date | November 25 2025 04:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
4059
754.9 IPS |
|
|
Image Classification (HP)
|
100% |
4134
768.8 IPS |
|
|
Image Classification (Q)
|
96% |
3869
722.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7295
118.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7434
120.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7096
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32891
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36023
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34734
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3950
313.3 IPS |
|
|
Object Detection (HP)
|
100% |
4075
323.2 IPS |
|
|
Object Detection (Q)
|
92% |
3812
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
13997
166.3 IPS |
|
|
Face Detection (HP)
|
100% |
14697
174.6 IPS |
|
|
Face Detection (Q)
|
100% |
12634
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19901
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18941
145.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17497
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53894
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64788
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62998
81.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10952
404.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11677
431.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10014
369.8 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2325
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2165
37.4 IPS |
