MacBook Pro (14-inch, 2021)
Geekbench AI Score
8746
Single Precision Score
9611
Half Precision Score
8733
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 10:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4046
752.5 IPS |
|
|
Image Classification (HP)
|
100% |
4053
753.8 IPS |
|
|
Image Classification (Q)
|
96% |
3826
714.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7297
118.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7456
120.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7099
115.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32844
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36082
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34659
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
3944
312.8 IPS |
|
|
Object Detection (HP)
|
100% |
4145
328.8 IPS |
|
|
Object Detection (Q)
|
92% |
3809
304.0 IPS |
|
|
Face Detection (SP)
|
100% |
14088
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
14965
177.8 IPS |
|
|
Face Detection (Q)
|
100% |
12861
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19898
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18941
145.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17457
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53809
69.2 IPS |
|
|
Style Transfer (HP)
|
100% |
64762
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63427
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10791
398.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11643
429.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9989
368.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1304
22.5 IPS |
