MacBook Pro (14-inch, 2021)
Geekbench AI Score
3542
Single Precision Score
5896
Half Precision Score
4694
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 22 2025 08:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (Q)
|
96% |
1462
273.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2440
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10277
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22715
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17411
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
97% |
2331
185.5 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5449
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5592
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10524
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7173
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22071
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35439
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28131
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5439
200.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3761
138.9 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5065
87.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5068
87.6 IPS |
