MacBook Pro (16-inch, 2021)
Geekbench AI Score
3590
Single Precision Score
5577
Half Precision Score
4756
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 06:14 AM |
| Views | 3 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1277
237.5 IPS |
|
|
Image Classification (HP)
|
100% |
1969
366.1 IPS |
|
|
Image Classification (Q)
|
99% |
1980
369.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2265
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10524
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21617
25.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15919
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2268
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1680
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5137
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
2919
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5657
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10617
82.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
10522
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20975
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34025
43.7 IPS |
|
|
Style Transfer (Q)
|
100% |
34217
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4286
158.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5927
218.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3849
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3106
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3128
54.1 IPS |
