MacBook Pro (16-inch, 2021)
Geekbench AI Score
11187
Single Precision Score
12398
Half Precision Score
11151
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:49 AM |
| Views | 1 |
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 (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4972
924.6 IPS |
|
|
Image Classification (HP)
|
100% |
5020
933.6 IPS |
|
|
Image Classification (Q)
|
97% |
4342
810.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
10123
164.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10365
168.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10410
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
57192
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60155
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55111
64.6 IPS |
|
|
Object Detection (SP)
|
100% |
4962
393.6 IPS |
|
|
Object Detection (HP)
|
100% |
5329
422.7 IPS |
|
|
Object Detection (Q)
|
91% |
4543
363.0 IPS |
|
|
Face Detection (SP)
|
100% |
20831
247.5 IPS |
|
|
Face Detection (HP)
|
100% |
21678
257.6 IPS |
|
|
Face Detection (Q)
|
100% |
16083
191.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26177
201.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27795
214.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
23490
183.6 IPS |
|
|
Style Transfer (SP)
|
100% |
95673
123.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119674
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
112035
144.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16429
606.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16901
624.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13889
512.8 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1139
19.7 IPS |
