MacBook Pro (14-inch, 2021)
Geekbench AI Score
3763
Single Precision Score
5831
Half Precision Score
4747
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pu154r |
| Upload Date | November 14 2024 05:50 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (Q)
|
96% |
1490
278.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1619
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2342
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2683
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11094
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21804
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17065
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2366
188.3 IPS |
|
|
Object Detection (Q)
|
94% |
1745
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
5536
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10920
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7461
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22297
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35091
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27139
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6245
230.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4033
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3532
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4818
83.3 IPS |
