MacBook Pro (14-inch, 2023)
Geekbench AI Score
10550
Single Precision Score
11705
Half Precision Score
10852
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.46 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5050
939.2 IPS |
|
|
Image Classification (HP)
|
100% |
5281
982.2 IPS |
|
|
Image Classification (Q)
|
96% |
4635
865.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7987
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8180
132.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7727
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35405
41.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
38985
45.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
37691
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (HP)
|
100% |
4672
370.6 IPS |
|
|
Object Detection (Q)
|
92% |
4328
345.5 IPS |
|
|
Face Detection (SP)
|
100% |
16124
191.6 IPS |
|
|
Face Detection (HP)
|
100% |
17007
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
14408
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23027
177.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24383
187.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
22114
172.7 IPS |
|
|
Style Transfer (SP)
|
100% |
65970
84.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72804
93.6 IPS |
|
|
Style Transfer (Q)
|
96% |
71560
92.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12735
470.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13841
511.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11684
431.4 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3615
62.5 IPS |
