MacBook Pro (14-inch, 2021)
Geekbench AI Score
10770
Single Precision Score
11957
Half Precision Score
9640
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | highlander |
| Upload Date | December 25 2024 07:18 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
5163
960.2 IPS |
|
|
Image Classification (HP)
|
100% |
5232
973.1 IPS |
|
|
Image Classification (Q)
|
99% |
5153
961.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10194
165.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10419
168.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
10422
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57075
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60473
70.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
53757
63.0 IPS |
|
|
Object Detection (SP)
|
100% |
4246
336.8 IPS |
|
|
Object Detection (HP)
|
100% |
4419
350.5 IPS |
|
|
Object Detection (Q)
|
91% |
4553
363.8 IPS |
|
|
Face Detection (SP)
|
100% |
19662
233.6 IPS |
|
|
Face Detection (HP)
|
100% |
21425
254.6 IPS |
|
|
Face Detection (Q)
|
100% |
15921
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26183
201.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27426
211.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
6425
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
95025
122.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119903
154.1 IPS |
|
|
Style Transfer (Q)
|
100% |
119142
153.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16391
605.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17053
629.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13498
500.1 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
820
14.2 IPS |
