MacBook Pro (16-inch, 2021)
Geekbench AI Score
3664
Single Precision Score
5842
Half Precision Score
4696
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ddtdanilo |
| Upload Date | July 12 2025 04:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2600
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11144
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21671
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16962
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2297
182.8 IPS |
|
|
Object Detection (Q)
|
94% |
1735
138.3 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
5199
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3065
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5729
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10083
77.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7128
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21880
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33343
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25967
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5878
217.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4111
151.8 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4805
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4762
82.3 IPS |
