MacBook Pro (16-inch, 2023)
Geekbench AI Score
4209
Single Precision Score
6860
Half Precision Score
5365
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ZompaZompa1957 |
| Upload Date | December 13 2024 01:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3094
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12977
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25431
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
19288
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1655
131.3 IPS |
|
|
Object Detection (HP)
|
97% |
2756
219.4 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3766
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
5996
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3495
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6497
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12256
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8343
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24906
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39067
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29372
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5089
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4493
165.9 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6311
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6364
110.0 IPS |
