MacBook Pro (14-inch, 2021)
Geekbench AI Score
3627
Single Precision Score
5825
Half Precision Score
4677
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 15 2025 09:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G5054d) |
| 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 | 3.21 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.7 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2568
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10964
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22330
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17473
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2294
182.7 IPS |
|
|
Object Detection (Q)
|
94% |
1706
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5196
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
3084
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10153
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6930
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21706
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33537
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26905
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4062
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4787
82.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4776
82.5 IPS |
