MacBook Pro (14-inch, 2021)
Geekbench AI Score
3797
Single Precision Score
5824
Half Precision Score
4795
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 27 2025 03:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
2059
382.9 IPS |
|
|
Image Classification (Q)
|
96% |
1506
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2697
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11108
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22391
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17434
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2369
188.6 IPS |
|
|
Object Detection (Q)
|
94% |
1745
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5382
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3223
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5920
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10886
84.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7460
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22509
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33431
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26640
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6436
237.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4081
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3409
58.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4990
86.2 IPS |
