MacBook Pro (14-inch, 2023)
Geekbench AI Score
8715
Single Precision Score
8540
Half Precision Score
2622
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | aapivone |
| Upload Date | January 03 2025 11:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B74) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5008
931.4 IPS |
|
|
Image Classification (HP)
|
100% |
4797
892.1 IPS |
|
|
Image Classification (Q)
|
99% |
3509
654.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7073
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7071
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6488
105.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36775
42.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
38806
45.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
34575
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
4613
365.9 IPS |
|
|
Object Detection (Q)
|
91% |
3640
290.7 IPS |
|
|
Face Detection (SP)
|
100% |
15786
187.6 IPS |
|
|
Face Detection (HP)
|
100% |
15630
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
9839
116.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23565
181.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23990
184.8 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
137.6 IPS |
|
|
Style Transfer (SP)
|
100% |
67966
87.4 IPS |
|
|
Style Transfer (HP)
|
100% |
73531
94.5 IPS |
|
|
Style Transfer (Q)
|
96% |
66370
85.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13057
482.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13914
513.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9971
368.2 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
93% |
690
925.6 IPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1194
20.6 IPS |
