MacBook Pro (14-inch, 2023)
Geekbench AI Score
10239
Single Precision Score
11119
Half Precision Score
10306
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Venturouster17 |
| Upload Date | September 03 2025 05:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
5181
963.5 IPS |
|
|
Image Classification (HP)
|
100% |
5056
940.3 IPS |
|
|
Image Classification (Q)
|
96% |
4664
871.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8098
131.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8095
131.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7811
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37062
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40534
47.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
39121
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4707
373.3 IPS |
|
|
Object Detection (HP)
|
100% |
4817
382.1 IPS |
|
|
Object Detection (Q)
|
92% |
4511
360.1 IPS |
|
|
Face Detection (SP)
|
100% |
16795
199.6 IPS |
|
|
Face Detection (HP)
|
100% |
17422
207.0 IPS |
|
|
Face Detection (Q)
|
100% |
14837
176.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23824
183.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24969
192.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
22851
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
68455
88.0 IPS |
|
|
Style Transfer (HP)
|
100% |
74615
95.9 IPS |
|
|
Style Transfer (Q)
|
96% |
73804
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13029
481.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14159
522.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12161
449.0 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1736
30.0 IPS |
