MacBook Pro (14-inch, 2021)
Geekbench AI Score
3797
Single Precision Score
5837
Half Precision Score
4782
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mcx |
| Upload Date | March 18 2025 04:18 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2704
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11003
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22362
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17435
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2370
188.7 IPS |
|
|
Object Detection (Q)
|
94% |
1744
139.0 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
5408
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3077
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6024
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10538
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7471
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22492
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35505
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27537
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4399
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6437
237.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4084
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3355
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4923
85.1 IPS |
