MacBook Pro (16-inch, 2021)
Geekbench AI Score
3688
Single Precision Score
5733
Half Precision Score
4698
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | firecall |
| Upload Date | January 04 2025 02:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.1 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11064
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21732
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17102
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2351
187.1 IPS |
|
|
Object Detection (Q)
|
94% |
1704
135.8 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5442
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3008
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10719
82.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7363
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22170
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34829
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27175
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4315
159.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6293
232.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4025
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3889
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3138
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4781
82.6 IPS |
