MacBook Pro (14-inch, 2021)
Geekbench AI Score
12280
Single Precision Score
13706
Half Precision Score
12878
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | notathome |
| Upload Date | November 03 2025 08:10 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5104
949.2 IPS |
|
|
Image Classification (HP)
|
100% |
5024
934.2 IPS |
|
|
Image Classification (Q)
|
96% |
4793
895.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11893
192.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12166
197.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11594
187.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57034
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62264
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59675
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
5086
403.4 IPS |
|
|
Object Detection (HP)
|
100% |
5325
422.4 IPS |
|
|
Object Detection (Q)
|
92% |
4931
393.6 IPS |
|
|
Face Detection (SP)
|
100% |
21278
252.8 IPS |
|
|
Face Detection (HP)
|
100% |
22453
266.8 IPS |
|
|
Face Detection (Q)
|
100% |
19272
229.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26116
201.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28380
218.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
25450
198.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96554
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121631
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118203
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16718
617.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17507
646.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15665
578.4 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4153
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2035
35.2 IPS |
