MacBook Pro (16-inch, 2021)
Geekbench AI Score
3641
Single Precision Score
5842
Half Precision Score
4668
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | May 18 2025 12:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.3 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11098
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22700
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16909
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2310
183.9 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5212
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
3022
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10303
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7005
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21864
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32222
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26065
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4318
159.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4103
151.5 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2836
48.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4821
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4771
82.5 IPS |
