MacBook Pro (14-inch, 2021)
Geekbench AI Score
13281
Single Precision Score
14944
Half Precision Score
13850
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | tienthanh85 |
| Upload Date | March 09 2026 11:49 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5133
954.6 IPS |
|
|
Image Classification (HP)
|
100% |
5230
972.6 IPS |
|
|
Image Classification (Q)
|
94% |
4815
899.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11785
191.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12115
196.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11246
182.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56681
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
62211
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59354
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (HP)
|
100% |
5399
428.2 IPS |
|
|
Object Detection (Q)
|
91% |
5067
404.9 IPS |
|
|
Face Detection (SP)
|
100% |
21794
259.0 IPS |
|
|
Face Detection (HP)
|
100% |
23358
277.5 IPS |
|
|
Face Detection (Q)
|
100% |
21026
249.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27682
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29882
230.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
26019
203.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96674
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121381
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118650
153.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16519
610.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17219
635.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15770
582.3 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4298
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4164
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3616
62.5 IPS |
