MacBook Pro (16-inch, 2021)
Geekbench AI Score
8770
Single Precision Score
9724
Half Precision Score
9085
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | May 14 2025 11:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4042
751.7 IPS |
|
|
Image Classification (HP)
|
100% |
4222
785.1 IPS |
|
|
Image Classification (Q)
|
96% |
3856
720.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7283
118.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7443
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7082
114.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32798
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
35975
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34603
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (HP)
|
100% |
4096
324.9 IPS |
|
|
Object Detection (Q)
|
92% |
3826
305.4 IPS |
|
|
Face Detection (SP)
|
100% |
13797
163.9 IPS |
|
|
Face Detection (HP)
|
100% |
14752
175.3 IPS |
|
|
Face Detection (Q)
|
100% |
12603
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19844
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18996
146.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
17461
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53838
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64713
83.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63409
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10839
400.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11558
426.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9931
366.7 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1893
32.7 IPS |
