MacBook Pro (16-inch, 2021)
Geekbench AI Score
7895
Single Precision Score
8677
Half Precision Score
7716
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | himmallright |
| Upload Date | March 07 2025 09:37 PM |
| Views | 12 |
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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4257
791.7 IPS |
|
|
Image Classification (HP)
|
100% |
4306
800.8 IPS |
|
|
Image Classification (Q)
|
97% |
3596
671.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6440
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6584
106.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6551
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33084
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
35105
41.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
32564
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3849
305.3 IPS |
|
|
Object Detection (HP)
|
100% |
3802
301.5 IPS |
|
|
Object Detection (Q)
|
91% |
3539
282.8 IPS |
|
|
Face Detection (SP)
|
100% |
14213
168.9 IPS |
|
|
Face Detection (HP)
|
100% |
15167
180.2 IPS |
|
|
Face Detection (Q)
|
100% |
10643
126.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20568
158.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21346
164.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17883
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54128
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64277
82.6 IPS |
|
|
Style Transfer (Q)
|
96% |
60498
78.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11097
409.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11645
430.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9112
336.5 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
98% |
709
12.2 IPS |
