MacBook Pro (16-inch, 2021)
Geekbench AI Score
3740
Single Precision Score
5873
Half Precision Score
4767
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jdawson |
| Upload Date | September 29 2024 01:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.4 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2662
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11139
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22054
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17172
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2344
186.6 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3196
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5865
45.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10894
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7523
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22201
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35223
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27062
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6261
231.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4044
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3645
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4799
82.9 IPS |
