MacBook Pro (16-inch, 2021)
Geekbench AI Score
1877
Single Precision Score
12790
Half Precision Score
10581
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | February 06 2025 10:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
861
160.1 IPS |
|
|
Image Classification (HP)
|
100% |
7214
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
6469
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
472
7.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
68776
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66322
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (HP)
|
99% |
7321
582.4 IPS |
|
|
Object Detection (Q)
|
93% |
7165
571.7 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
11337
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
11733
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3251
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46063
354.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
55108
430.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11702
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
117246
150.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113893
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18887
697.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23326
861.3 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.1 IPS |
|
|
Text Classification (HP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (Q)
|
93% |
3407
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2072
35.8 IPS |
