MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4793
Single Precision Score
7501
Half Precision Score
5983
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | danb |
| Upload Date | October 30 2024 02:50 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1504
279.7 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (Q)
|
96% |
1792
334.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2716
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16687
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28851
33.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22063
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (HP)
|
97% |
2979
237.2 IPS |
|
|
Object Detection (Q)
|
94% |
2200
175.4 IPS |
|
|
Face Detection (SP)
|
100% |
4041
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
6584
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
3956
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7430
57.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13071
101.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9073
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30707
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41774
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32900
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5307
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4778
82.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7014
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6974
120.5 IPS |
