MacBook Pro (14-inch, 2021)
Geekbench AI Score
8665
Single Precision Score
9600
Half Precision Score
8706
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | May 26 2025 01:23 AM |
| Views | 7 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4031
749.7 IPS |
|
|
Image Classification (HP)
|
100% |
4111
764.4 IPS |
|
|
Image Classification (Q)
|
96% |
3864
721.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7258
117.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7443
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7093
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
32916
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35887
41.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34552
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (HP)
|
100% |
4117
326.5 IPS |
|
|
Object Detection (Q)
|
92% |
3800
303.3 IPS |
|
|
Face Detection (SP)
|
100% |
13827
164.3 IPS |
|
|
Face Detection (HP)
|
100% |
14796
175.8 IPS |
|
|
Face Detection (Q)
|
100% |
12793
152.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19916
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18563
143.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
17251
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53943
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64689
83.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63460
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10797
398.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11680
431.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9913
366.0 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
