MacBook Pro (16-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
5732
Half Precision Score
4704
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Liosnel |
| Upload Date | October 13 2024 05:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (Q)
|
96% |
1485
277.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2328
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11191
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21432
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17086
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2348
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
5398
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10850
83.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7444
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22287
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33471
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26114
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4021
148.5 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3814
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3770
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3517
60.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4775
82.5 IPS |
