MacBook Pro (16-inch, 2021)
Geekbench AI Score
8501
Single Precision Score
9438
Half Precision Score
8272
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | j89979 |
| Upload Date | March 01 2025 04:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4013
746.4 IPS |
|
|
Image Classification (HP)
|
100% |
4104
763.1 IPS |
|
|
Image Classification (Q)
|
97% |
3489
651.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6292
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6486
105.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6453
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32662
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34828
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
32153
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3967
314.6 IPS |
|
|
Object Detection (HP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (Q)
|
91% |
3465
276.8 IPS |
|
|
Face Detection (SP)
|
100% |
13925
165.5 IPS |
|
|
Face Detection (HP)
|
100% |
14948
177.6 IPS |
|
|
Face Detection (Q)
|
100% |
10372
123.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20012
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20808
160.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17497
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53629
68.9 IPS |
|
|
Style Transfer (HP)
|
100% |
63519
81.7 IPS |
|
|
Style Transfer (Q)
|
96% |
59638
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10838
400.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11458
423.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8760
323.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1593
27.5 IPS |
