MacBook Pro (14-inch, 2021)
Geekbench AI Score
7626
Single Precision Score
8419
Half Precision Score
7403
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | demonknight9 |
| Upload Date | November 19 2024 07:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3770
701.0 IPS |
|
|
Image Classification (HP)
|
100% |
3892
723.8 IPS |
|
|
Image Classification (Q)
|
97% |
3195
596.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5906
95.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5963
96.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5889
95.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29778
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31272
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29119
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3732
296.0 IPS |
|
|
Object Detection (HP)
|
100% |
3940
312.5 IPS |
|
|
Object Detection (Q)
|
91% |
3269
261.2 IPS |
|
|
Face Detection (SP)
|
100% |
13133
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
13667
162.4 IPS |
|
|
Face Detection (Q)
|
100% |
9759
116.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17478
134.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18077
139.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
15181
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50083
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58990
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54917
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10586
390.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11043
407.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8528
314.9 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3815
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1043
18.0 IPS |
