MacBook Pro (14-inch, 2021)
Geekbench AI Score
6785
Single Precision Score
7070
Half Precision Score
6351
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fearlipe |
| Upload Date | August 16 2024 07:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.04 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3464
644.2 IPS |
|
|
Image Classification (HP)
|
100% |
3650
678.8 IPS |
|
|
Image Classification (Q)
|
99% |
3373
629.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5985
97.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6102
98.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5861
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32732
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34152
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
30452
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (HP)
|
100% |
3763
298.5 IPS |
|
|
Object Detection (Q)
|
92% |
2973
237.3 IPS |
|
|
Face Detection (SP)
|
100% |
12170
144.6 IPS |
|
|
Face Detection (HP)
|
100% |
12574
149.4 IPS |
|
|
Face Detection (Q)
|
100% |
8988
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19336
149.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19708
151.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
20145
155.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52523
67.5 IPS |
|
|
Style Transfer (HP)
|
100% |
62341
80.1 IPS |
|
|
Style Transfer (Q)
|
100% |
62993
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10593
391.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11315
417.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8348
309.3 IPS |
|
|
Text Classification (SP)
|
100% |
574
766.2 IPS |
|
|
Text Classification (HP)
|
100% |
545
727.4 IPS |
|
|
Text Classification (Q)
|
93% |
535
717.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1172
20.2 IPS |
