MacBook Pro (14-inch, 2021)
Geekbench AI Score
8602
Single Precision Score
9548
Half Precision Score
8821
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Hellsegga |
| Upload Date | August 21 2025 07:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4130
768.0 IPS |
|
|
Image Classification (HP)
|
100% |
4065
755.9 IPS |
|
|
Image Classification (Q)
|
96% |
3899
728.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7239
117.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7445
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7066
114.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32743
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35844
41.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34717
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3906
309.9 IPS |
|
|
Object Detection (HP)
|
100% |
4108
325.8 IPS |
|
|
Object Detection (Q)
|
92% |
3776
301.4 IPS |
|
|
Face Detection (SP)
|
100% |
13859
164.7 IPS |
|
|
Face Detection (HP)
|
100% |
14634
173.9 IPS |
|
|
Face Detection (Q)
|
100% |
12591
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19745
152.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19038
146.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17413
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
53759
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
64541
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63229
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10621
392.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11532
425.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9883
364.9 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1442
24.9 IPS |
