MacBook Pro (16-inch, 2021)
Geekbench AI Score
8578
Single Precision Score
9548
Half Precision Score
9330
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
4084
759.6 IPS |
|
|
Image Classification (HP)
|
100% |
4101
762.7 IPS |
|
|
Image Classification (Q)
|
96% |
3834
715.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7353
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7461
121.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7111
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32757
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
36027
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34776
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (HP)
|
100% |
4025
319.3 IPS |
|
|
Object Detection (Q)
|
92% |
3743
298.7 IPS |
|
|
Face Detection (SP)
|
100% |
13806
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
14529
172.6 IPS |
|
|
Face Detection (Q)
|
100% |
12664
150.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19750
152.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18984
146.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17285
135.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53911
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64609
83.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63377
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10802
398.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11585
427.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10131
374.1 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2511
43.4 IPS |
