MacBook Pro (16-inch, 2021)
Geekbench AI Score
3635
Single Precision Score
5697
Half Precision Score
4856
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:04 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (Q)
|
99% |
2011
375.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2362
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10860
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21547
25.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15998
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2306
183.6 IPS |
|
|
Object Detection (Q)
|
94% |
1713
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5168
61.4 IPS |
|
|
Face Detection (Q)
|
100% |
3021
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5742
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10724
82.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10497
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21118
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34404
44.2 IPS |
|
|
Style Transfer (Q)
|
100% |
34289
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4280
158.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6280
231.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3959
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3236
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3285
56.8 IPS |
