MacBook Pro (14-inch, 2021)
Geekbench AI Score
7931
Single Precision Score
8702
Half Precision Score
7650
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Halbbyte |
| Upload Date | January 02 2025 01:19 PM |
| Views | 1 |
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% |
3719
691.7 IPS |
|
|
Image Classification (HP)
|
100% |
3830
712.3 IPS |
|
|
Image Classification (Q)
|
97% |
3178
593.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5923
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5855
94.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5817
94.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29775
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31291
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29091
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3672
291.2 IPS |
|
|
Object Detection (HP)
|
100% |
3895
309.0 IPS |
|
|
Object Detection (Q)
|
91% |
3227
257.8 IPS |
|
|
Face Detection (SP)
|
100% |
12902
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
13524
160.7 IPS |
|
|
Face Detection (Q)
|
100% |
9560
113.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17252
132.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17846
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15069
117.8 IPS |
|
|
Style Transfer (SP)
|
100% |
50131
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58951
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54943
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10424
384.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10831
399.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8495
313.7 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1501
25.9 IPS |
