MacBook Pro (14-inch, 2023)
Geekbench AI Score
10734
Single Precision Score
11774
Half Precision Score
10866
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | natrat |
| Upload Date | July 20 2025 02:45 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5303
986.1 IPS |
|
|
Image Classification (HP)
|
100% |
5344
993.8 IPS |
|
|
Image Classification (Q)
|
96% |
4983
930.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8238
133.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8297
134.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7782
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37086
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
40633
47.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39291
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
4914
389.8 IPS |
|
|
Object Detection (HP)
|
100% |
5002
396.8 IPS |
|
|
Object Detection (Q)
|
92% |
4558
363.8 IPS |
|
|
Face Detection (SP)
|
100% |
17009
202.1 IPS |
|
|
Face Detection (HP)
|
100% |
17784
211.3 IPS |
|
|
Face Detection (Q)
|
100% |
14925
177.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24161
186.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25454
196.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
23336
182.3 IPS |
|
|
Style Transfer (SP)
|
100% |
68897
88.6 IPS |
|
|
Style Transfer (HP)
|
100% |
76022
97.7 IPS |
|
|
Style Transfer (Q)
|
96% |
74193
95.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13424
495.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14455
533.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12750
470.8 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4121
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2434
42.1 IPS |
