MacBook Pro (16-inch, 2021)
Geekbench AI Score
8778
Single Precision Score
9677
Half Precision Score
9130
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:11 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4096
761.7 IPS |
|
|
Image Classification (HP)
|
100% |
4230
786.7 IPS |
|
|
Image Classification (Q)
|
96% |
3915
731.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7383
119.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7542
122.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7182
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33022
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35942
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34730
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3978
315.5 IPS |
|
|
Object Detection (HP)
|
100% |
4103
325.4 IPS |
|
|
Object Detection (Q)
|
92% |
3824
305.2 IPS |
|
|
Face Detection (SP)
|
100% |
14381
170.9 IPS |
|
|
Face Detection (HP)
|
100% |
15232
181.0 IPS |
|
|
Face Detection (Q)
|
100% |
13032
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20073
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19135
147.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17620
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53992
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65081
83.7 IPS |
|
|
Style Transfer (Q)
|
96% |
63447
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10920
403.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11692
431.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10002
369.3 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1704
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1800
31.1 IPS |
