MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4795
Single Precision Score
7424
Half Precision Score
5989
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jamault |
| Upload Date | December 28 2024 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.3 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16797
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28557
33.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21449
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1965
155.9 IPS |
|
|
Object Detection (HP)
|
97% |
2981
237.3 IPS |
|
|
Object Detection (Q)
|
94% |
2191
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
4039
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
6608
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7334
56.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13141
101.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9108
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31019
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
43051
55.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33794
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5727
211.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7602
280.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
2726
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4681
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4851
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4917
84.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6984
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7071
122.2 IPS |
