MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3891
Single Precision Score
5440
Half Precision Score
4489
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | marsplaneetta |
| Upload Date | August 15 2024 10:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.3 IPS |
|
|
Image Classification (Q)
|
99% |
2041
380.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1431
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8593
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16596
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14415
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1870
148.3 IPS |
|
|
Object Detection (HP)
|
97% |
2585
205.8 IPS |
|
|
Object Detection (Q)
|
94% |
1986
158.3 IPS |
|
|
Face Detection (SP)
|
100% |
3550
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5129
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
3423
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6795
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9788
75.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4180
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19523
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30075
38.7 IPS |
|
|
Style Transfer (Q)
|
100% |
30481
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5107
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5372
198.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4133
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4643
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4608
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2982
51.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4851
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4786
82.7 IPS |
