MacBook Pro (14-inch, 2023)
Geekbench AI Score
10109
Single Precision Score
11061
Half Precision Score
10236
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | HeyJude5 |
| Upload Date | August 21 2025 08:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
5002
930.1 IPS |
|
|
Image Classification (HP)
|
100% |
5050
939.1 IPS |
|
|
Image Classification (Q)
|
96% |
4665
871.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
8133
131.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8048
130.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7787
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37017
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40427
47.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
39108
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4768
378.2 IPS |
|
|
Object Detection (HP)
|
100% |
4804
381.0 IPS |
|
|
Object Detection (Q)
|
92% |
4412
352.2 IPS |
|
|
Face Detection (SP)
|
100% |
16816
199.8 IPS |
|
|
Face Detection (HP)
|
100% |
17492
207.8 IPS |
|
|
Face Detection (Q)
|
100% |
14798
175.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23841
183.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24856
191.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
22908
178.9 IPS |
|
|
Style Transfer (SP)
|
100% |
68351
87.9 IPS |
|
|
Style Transfer (HP)
|
100% |
75054
96.5 IPS |
|
|
Style Transfer (Q)
|
96% |
73470
94.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13018
480.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13843
511.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12138
448.2 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1857
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1963
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1713
29.6 IPS |
