MacBook Pro (14-inch, 2021)
Geekbench AI Score
6620
Single Precision Score
7045
Half Precision Score
6279
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | szeka |
| Upload Date | August 15 2024 07:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3694
686.9 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.6 IPS |
|
|
Image Classification (Q)
|
99% |
3236
603.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6007
97.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6134
99.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5910
95.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
33009
38.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34334
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30522
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
3723
295.3 IPS |
|
|
Object Detection (HP)
|
100% |
3900
309.3 IPS |
|
|
Object Detection (Q)
|
92% |
3035
242.2 IPS |
|
|
Face Detection (SP)
|
100% |
12467
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
13093
155.6 IPS |
|
|
Face Detection (Q)
|
100% |
9107
108.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19624
151.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19899
153.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
19814
153.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53393
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
63196
81.2 IPS |
|
|
Style Transfer (Q)
|
100% |
63780
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11102
410.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11694
431.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8587
318.1 IPS |
|
|
Text Classification (SP)
|
100% |
395
527.4 IPS |
|
|
Text Classification (HP)
|
100% |
512
683.6 IPS |
|
|
Text Classification (Q)
|
93% |
517
694.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1053
18.2 IPS |
