MacBook Pro (16-inch, 2021)
Geekbench AI Score
3746
Single Precision Score
5740
Half Precision Score
4947
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fabrizioooOH |
| Upload Date | February 08 2025 03:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (Q)
|
99% |
2028
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2314
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11206
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21334
24.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16927
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2379
189.4 IPS |
|
|
Object Detection (Q)
|
94% |
1758
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5074
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3057
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6018
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11013
85.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11031
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22299
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35101
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
35234
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6234
230.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3990
147.8 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3922
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3385
58.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3375
58.3 IPS |
