MacBook Pro (14-inch, 2021)
Geekbench AI Score
8821
Single Precision Score
9851
Half Precision Score
9145
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Zedd |
| Upload Date | November 07 2025 05:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4331
805.4 IPS |
|
|
Image Classification (HP)
|
100% |
4496
836.1 IPS |
|
|
Image Classification (Q)
|
96% |
4111
767.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7532
122.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7739
125.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7353
119.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33240
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36367
42.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
35207
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (HP)
|
100% |
4318
342.5 IPS |
|
|
Object Detection (Q)
|
92% |
4047
323.0 IPS |
|
|
Face Detection (SP)
|
100% |
14774
175.5 IPS |
|
|
Face Detection (HP)
|
100% |
15627
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
13375
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20952
161.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19997
154.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
18354
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54558
70.1 IPS |
|
|
Style Transfer (HP)
|
100% |
65850
84.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64356
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11440
422.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12264
452.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10663
393.7 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1362
23.5 IPS |
