MacBook Pro (14-inch, 2021)
Geekbench AI Score
7982
Single Precision Score
8587
Half Precision Score
7700
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | leandrof |
| Upload Date | January 27 2025 02:31 PM |
| Views | 5 |
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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3785
703.9 IPS |
|
|
Image Classification (HP)
|
100% |
3849
715.9 IPS |
|
|
Image Classification (Q)
|
97% |
3207
598.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5887
95.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5945
96.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5858
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29817
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31329
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
29138
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3715
294.7 IPS |
|
|
Object Detection (HP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (Q)
|
91% |
3259
260.4 IPS |
|
|
Face Detection (SP)
|
100% |
13073
155.3 IPS |
|
|
Face Detection (HP)
|
100% |
13643
162.1 IPS |
|
|
Face Detection (Q)
|
100% |
9588
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17445
134.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17926
138.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
15100
118.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50124
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59018
75.9 IPS |
|
|
Style Transfer (Q)
|
96% |
55019
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10446
385.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10910
402.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8606
317.8 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1514
26.2 IPS |
