MacBook Pro (16-inch, 2021)
Geekbench AI Score
7984
Single Precision Score
8713
Half Precision Score
7407
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4129
767.9 IPS |
|
|
Image Classification (HP)
|
100% |
4206
782.2 IPS |
|
|
Image Classification (Q)
|
97% |
3212
599.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6334
102.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6529
105.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6294
102.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32712
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34918
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
31745
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3607
286.1 IPS |
|
|
Object Detection (HP)
|
100% |
3644
289.1 IPS |
|
|
Object Detection (Q)
|
91% |
3219
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
14092
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
14951
177.7 IPS |
|
|
Face Detection (Q)
|
100% |
10079
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20055
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20706
159.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
16211
126.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53967
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63701
81.9 IPS |
|
|
Style Transfer (Q)
|
96% |
59268
76.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10875
401.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11443
422.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8342
308.0 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
902
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
767
13.2 IPS |
