MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4813
Single Precision Score
7474
Half Precision Score
6005
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Maflagulator |
| Upload Date | October 09 2024 06:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.3 IPS |
|
|
Image Classification (Q)
|
96% |
1797
335.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16658
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27791
32.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21705
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
97% |
2970
236.4 IPS |
|
|
Object Detection (Q)
|
94% |
2172
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
6646
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7354
56.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12895
99.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8984
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30716
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43458
55.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33074
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5744
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7636
282.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7012
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7057
121.9 IPS |
