MacBook Pro (14-inch, 2021)
Geekbench AI Score
7555
Single Precision Score
8722
Half Precision Score
7409
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3773
701.7 IPS |
|
|
Image Classification (HP)
|
100% |
3889
723.2 IPS |
|
|
Image Classification (Q)
|
97% |
3179
593.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5825
94.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5867
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5797
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29794
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31364
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
29097
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3735
296.3 IPS |
|
|
Object Detection (HP)
|
100% |
3871
307.0 IPS |
|
|
Object Detection (Q)
|
91% |
3216
257.0 IPS |
|
|
Face Detection (SP)
|
100% |
13083
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
13514
160.6 IPS |
|
|
Face Detection (Q)
|
100% |
9584
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17301
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17881
137.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14726
115.1 IPS |
|
|
Style Transfer (SP)
|
100% |
50030
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58967
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
55012
71.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10435
385.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10882
401.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8672
320.2 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3958
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1086
18.8 IPS |
