MacBook Pro (14-inch, 2021)
Geekbench AI Score
3738
Single Precision Score
5823
Half Precision Score
4706
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | demonknight9 |
| Upload Date | November 19 2024 07:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2049
381.1 IPS |
|
|
Image Classification (Q)
|
96% |
1471
274.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2653
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11092
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21968
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17227
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2357
187.6 IPS |
|
|
Object Detection (Q)
|
94% |
1714
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5489
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3074
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10915
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7357
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22442
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35595
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27314
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6396
236.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4070
150.3 IPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3782
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3757
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3553
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4904
84.7 IPS |
