MacBook Pro (16-inch, 2021)
Geekbench AI Score
3630
Single Precision Score
5548
Half Precision Score
4610
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 09:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
2001
372.0 IPS |
|
|
Image Classification (Q)
|
96% |
1461
272.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2705
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10965
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20765
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16367
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
97% |
2314
184.2 IPS |
|
|
Object Detection (Q)
|
94% |
1706
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
4808
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
2998
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5763
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10394
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7162
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21370
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33911
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25041
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4264
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6084
224.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3950
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3071
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4688
81.0 IPS |
