MacBook Pro (14-inch, 2021)
Geekbench AI Score
3692
Single Precision Score
5865
Half Precision Score
4694
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | felixskw |
| Upload Date | November 11 2025 05:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.4 IPS |
|
|
Image Classification (Q)
|
96% |
1515
282.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2622
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11061
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21797
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17097
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2305
183.5 IPS |
|
|
Object Detection (Q)
|
94% |
1707
136.0 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5096
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3046
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10300
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7100
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21997
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32506
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26063
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4131
152.5 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4773
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4817
83.2 IPS |
