MacBook Pro (16-inch, 2021)
Geekbench AI Score
8127
Single Precision Score
9431
Half Precision Score
7972
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | harman767 |
| Upload Date | March 26 2025 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
4166
774.7 IPS |
|
|
Image Classification (HP)
|
100% |
4160
773.6 IPS |
|
|
Image Classification (Q)
|
97% |
3529
658.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6339
102.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6493
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6436
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
32865
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34847
40.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32398
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
3988
316.3 IPS |
|
|
Object Detection (HP)
|
100% |
4149
329.1 IPS |
|
|
Object Detection (Q)
|
91% |
3473
277.5 IPS |
|
|
Face Detection (SP)
|
100% |
13980
166.1 IPS |
|
|
Face Detection (HP)
|
100% |
14707
174.8 IPS |
|
|
Face Detection (Q)
|
100% |
10606
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20183
155.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20689
159.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17499
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53950
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63955
82.2 IPS |
|
|
Style Transfer (Q)
|
96% |
59783
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11017
406.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11442
422.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8950
330.5 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1044
18.0 IPS |
