MacBook Pro (14-inch, 2021)
Geekbench AI Score
7800
Single Precision Score
8654
Half Precision Score
6615
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | slongeard |
| Upload Date | November 03 2024 09:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| 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% |
4077
758.2 IPS |
|
|
Image Classification (HP)
|
100% |
4238
788.2 IPS |
|
|
Image Classification (Q)
|
99% |
4313
804.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6370
103.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6532
105.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6537
106.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32924
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34875
40.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
31567
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
4192
332.5 IPS |
|
|
Object Detection (Q)
|
91% |
3447
275.4 IPS |
|
|
Face Detection (SP)
|
100% |
13915
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
14523
172.6 IPS |
|
|
Face Detection (Q)
|
100% |
10529
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19842
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20701
159.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
3728
28.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54064
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
63671
81.9 IPS |
|
|
Style Transfer (Q)
|
100% |
63835
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10751
397.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11335
418.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8667
321.1 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
98% |
603
10.4 IPS |
