MacBook Pro (16-inch, 2021)
Geekbench AI Score
3641
Single Precision Score
5690
Half Precision Score
4663
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 01:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (Q)
|
96% |
1472
274.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2640
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10875
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
21939
25.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
17260
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2350
187.1 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
5226
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
2966
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10269
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7218
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21959
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34919
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26977
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4310
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6159
227.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3972
146.7 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3252
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4735
81.8 IPS |
