MacBook Pro (14-inch, 2021)
Geekbench AI Score
6271
Single Precision Score
6825
Half Precision Score
6084
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Destructico |
| Upload Date | August 15 2024 06:52 PM |
| Views | 13 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3455
642.5 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.3 IPS |
|
|
Image Classification (Q)
|
99% |
3068
572.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5581
90.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5621
91.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5444
88.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29911
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30862
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27493
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (HP)
|
100% |
3736
296.4 IPS |
|
|
Object Detection (Q)
|
92% |
2867
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
11791
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
12290
146.0 IPS |
|
|
Face Detection (Q)
|
100% |
8454
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17180
132.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17519
135.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
17796
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49648
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
58391
75.1 IPS |
|
|
Style Transfer (Q)
|
100% |
57423
73.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10696
395.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11196
413.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8327
308.5 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.0 IPS |
|
|
Text Classification (HP)
|
100% |
668
891.1 IPS |
|
|
Text Classification (Q)
|
93% |
695
932.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.2 IPS |
