MacBook Pro (16-inch, 2021)
Geekbench AI Score
3579
Single Precision Score
14872
Half Precision Score
14754
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 01:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
6882
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6613
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6454
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6760
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10561
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
70064
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66902
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
7937
631.4 IPS |
|
|
Object Detection (Q)
|
91% |
7451
595.4 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
15982
189.9 IPS |
|
|
Face Detection (Q)
|
100% |
15010
178.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5716
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51180
394.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
53558
418.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21506
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120172
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115991
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4208
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25907
956.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27999
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2143
36.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2142
37.0 IPS |
