MacBook Pro (16-inch, 2021)
Geekbench AI Score
8557
Single Precision Score
8968
Half Precision Score
7972
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lmeyler |
| Upload Date | February 06 2025 12:20 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4139
769.7 IPS |
|
|
Image Classification (HP)
|
100% |
4051
753.4 IPS |
|
|
Image Classification (Q)
|
97% |
3441
642.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6273
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6447
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6454
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32841
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34929
40.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32281
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
3943
312.8 IPS |
|
|
Object Detection (HP)
|
100% |
4117
326.5 IPS |
|
|
Object Detection (Q)
|
91% |
3410
272.5 IPS |
|
|
Face Detection (SP)
|
100% |
13915
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
14559
173.0 IPS |
|
|
Face Detection (Q)
|
100% |
10579
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19766
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20685
159.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17467
136.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53909
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63925
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
60050
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11039
407.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11505
424.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9041
333.8 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1070
18.5 IPS |
