MacBook Pro (14-inch, 2023)
Geekbench AI Score
4190
Single Precision Score
6741
Half Precision Score
5293
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | February 26 2025 03:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
2257
419.7 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2584
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2941
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12956
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25613
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19408
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
2021
161.1 IPS |
|
|
Face Detection (SP)
|
100% |
3721
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
5829
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
3383
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6414
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12198
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8220
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24709
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38854
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29788
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5103
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6995
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4457
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3936
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4619
79.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6290
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6222
107.5 IPS |
