MacBook Pro (16-inch, 2021)
Geekbench AI Score
3487
Single Precision Score
5713
Half Precision Score
4572
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 01:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.05 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (Q)
|
96% |
1463
273.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10918
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21803
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17034
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2182
173.7 IPS |
|
|
Object Detection (Q)
|
94% |
1624
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5103
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
2977
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5481
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9883
76.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6922
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21437
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33751
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26640
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5776
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3922
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2155
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3757
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2809
48.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4659
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4698
81.2 IPS |
