MacBook Pro (14-inch, 2023)
Geekbench AI Score
2156
Single Precision Score
2188
Half Precision Score
1251
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | aapivone |
| Upload Date | January 03 2025 11:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1112
206.7 IPS |
|
|
Image Classification (HP)
|
100% |
1049
195.1 IPS |
|
|
Image Classification (Q)
|
97% |
423
78.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
548
8.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
11077
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16013
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
7034
8.24 IPS |
|
|
Object Detection (SP)
|
100% |
1287
102.1 IPS |
|
|
Object Detection (HP)
|
98% |
1246
99.2 IPS |
|
|
Object Detection (Q)
|
94% |
535
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (Q)
|
100% |
697
8.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
3823
29.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3582
27.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
1749
13.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13658
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14094
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
8366
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
925
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
462
616.5 IPS |
|
|
Text Classification (HP)
|
100% |
540
721.0 IPS |
|
|
Text Classification (Q)
|
93% |
537
721.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2127
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2136
36.9 IPS |
