MacBook Pro (16-inch, 2021)
Geekbench AI Score
3671
Single Precision Score
5825
Half Precision Score
4703
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dengduck |
| Upload Date | May 06 2025 04:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1503
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11227
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21503
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17354
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2292
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5100
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
3082
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5774
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10140
78.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7107
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22017
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33440
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27076
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4312
159.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4056
149.8 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3085
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4804
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4772
82.5 IPS |
