MacBook Pro (14-inch, 2021)
Geekbench AI Score
3673
Single Precision Score
5899
Half Precision Score
4711
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 15 2025 10:07 AM |
| Views | 8 |
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, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2016
375.0 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2606
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10906
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
22231
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17618
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2314
184.2 IPS |
|
|
Object Detection (Q)
|
94% |
1719
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5380
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3006
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5847
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9932
76.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7068
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21789
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33530
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26534
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4395
162.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4079
150.6 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4841
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4885
84.4 IPS |
