MacBook Pro (16-inch, 2021)
Geekbench AI Score
7046
Single Precision Score
7033
Half Precision Score
2304
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | February 06 2025 10:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3570
663.9 IPS |
|
|
Image Classification (HP)
|
100% |
3755
698.2 IPS |
|
|
Image Classification (Q)
|
97% |
2866
534.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6012
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6060
98.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5822
94.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
32847
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33658
39.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30516
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3740
296.6 IPS |
|
|
Object Detection (HP)
|
100% |
3728
295.7 IPS |
|
|
Object Detection (Q)
|
92% |
2965
236.7 IPS |
|
|
Face Detection (SP)
|
100% |
11212
133.2 IPS |
|
|
Face Detection (HP)
|
100% |
12429
147.7 IPS |
|
|
Face Detection (Q)
|
100% |
8788
104.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19626
151.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19396
149.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
120.5 IPS |
|
|
Style Transfer (SP)
|
100% |
52984
68.1 IPS |
|
|
Style Transfer (HP)
|
100% |
62603
80.5 IPS |
|
|
Style Transfer (Q)
|
96% |
59692
77.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10979
405.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11616
428.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8652
319.5 IPS |
|
|
Text Classification (SP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
645
860.4 IPS |
|
|
Text Classification (Q)
|
93% |
596
799.9 IPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
