MacBook Pro (14-inch, 2021)
Geekbench AI Score
3401
Single Precision Score
5591
Half Precision Score
4481
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | vchingunde |
| Upload Date | June 20 2025 08:09 PM |
| Views | 3 |
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 (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 | 3.12 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1301
242.0 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (Q)
|
96% |
1412
263.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2395
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10090
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21266
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16834
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2189
174.3 IPS |
|
|
Object Detection (Q)
|
94% |
1616
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5012
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
2985
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5409
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9691
74.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6826
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21283
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33270
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26006
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3792
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5748
212.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3838
141.7 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3672
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2646
45.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4608
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4761
82.3 IPS |
