MacBook Pro (16-inch, 2021)
Geekbench AI Score
3659
Single Precision Score
5784
Half Precision Score
4699
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uladzislau_dzerzh |
| Upload Date | April 13 2025 12:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11044
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22696
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17089
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2301
183.2 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
3032
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5719
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10127
78.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7129
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22001
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31643
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26994
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5673
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4066
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4817
83.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4789
82.8 IPS |
