MacBook Pro (16-inch, 2021)
Geekbench AI Score
10815
Single Precision Score
12008
Half Precision Score
10717
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 10:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| 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% |
5108
950.0 IPS |
|
|
Image Classification (HP)
|
100% |
5230
972.7 IPS |
|
|
Image Classification (Q)
|
97% |
4407
822.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10027
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10227
165.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10468
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56877
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
60205
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55170
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
4584
363.6 IPS |
|
|
Object Detection (Q)
|
91% |
4582
366.1 IPS |
|
|
Face Detection (SP)
|
100% |
21515
255.6 IPS |
|
|
Face Detection (HP)
|
100% |
22013
261.6 IPS |
|
|
Face Detection (Q)
|
100% |
16157
192.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26136
201.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26960
207.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22739
177.7 IPS |
|
|
Style Transfer (SP)
|
100% |
96502
124.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120409
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112523
145.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16756
618.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17635
651.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13852
511.5 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3939
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
760
13.1 IPS |
