MacBook Pro (14-inch, 2021)
Geekbench AI Score
2703
Single Precision Score
4390
Half Precision Score
3767
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.03 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (HP)
|
100% |
777
144.5 IPS |
|
|
Image Classification (Q)
|
96% |
588
109.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1576
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4884
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
8622
10.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
7662
8.98 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.7 IPS |
|
|
Object Detection (HP)
|
97% |
2361
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
1724
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5474
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3133
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5982
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10660
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7209
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22338
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34824
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25951
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4380
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6421
237.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4068
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3344
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4966
85.8 IPS |
