MacBook Pro (14-inch, 2021)
Geekbench AI Score
7271
Single Precision Score
8545
Half Precision Score
7228
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.18 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3769
701.0 IPS |
|
|
Image Classification (HP)
|
100% |
3964
737.1 IPS |
|
|
Image Classification (Q)
|
97% |
3222
601.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5809
94.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5902
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5832
94.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29658
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30357
35.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
28753
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (HP)
|
100% |
3687
292.4 IPS |
|
|
Object Detection (Q)
|
91% |
3195
255.3 IPS |
|
|
Face Detection (SP)
|
100% |
12470
148.2 IPS |
|
|
Face Detection (HP)
|
100% |
13546
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
8554
101.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14441
111.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17987
138.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
15463
120.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50185
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
56531
72.7 IPS |
|
|
Style Transfer (Q)
|
96% |
54986
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10538
389.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9746
359.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8558
316.0 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
902
15.6 IPS |
