MacBook Pro (14-inch, 2023)
Geekbench AI Score
3977
Single Precision Score
6790
Half Precision Score
5378
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2268
421.7 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11756
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26067
30.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
20247
23.7 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
97% |
2645
210.6 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
5884
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3359
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5855
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11428
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8098
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24778
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40036
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31272
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6413
236.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4464
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4225
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4240
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4143
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7556
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6921
119.6 IPS |
