MacBook Pro (14-inch, 2021)
Geekbench AI Score
3755
Single Precision Score
5766
Half Precision Score
4757
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lollo20 |
| Upload Date | November 18 2024 03:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
96% |
1491
278.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2678
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11241
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22354
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17457
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2364
188.2 IPS |
|
|
Object Detection (Q)
|
94% |
1749
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5944
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10844
83.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7445
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22224
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33053
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26162
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4400
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4067
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3180
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4828
83.4 IPS |
