MacBook Pro (14-inch, 2023)
Geekbench AI Score
12102
Single Precision Score
13148
Half Precision Score
12271
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | djoneverett |
| Upload Date | April 07 2026 06:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
5257
977.6 IPS |
|
|
Image Classification (HP)
|
100% |
5332
991.5 IPS |
|
|
Image Classification (Q)
|
94% |
5051
944.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8609
139.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8437
136.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8177
132.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37071
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
40644
47.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39301
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
4815
381.9 IPS |
|
|
Object Detection (HP)
|
100% |
4899
388.6 IPS |
|
|
Object Detection (Q)
|
91% |
4643
371.1 IPS |
|
|
Face Detection (SP)
|
100% |
17724
210.6 IPS |
|
|
Face Detection (HP)
|
100% |
18399
218.6 IPS |
|
|
Face Detection (Q)
|
100% |
16514
196.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24104
185.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25157
193.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
23486
183.6 IPS |
|
|
Style Transfer (SP)
|
100% |
68875
88.5 IPS |
|
|
Style Transfer (HP)
|
100% |
75705
97.3 IPS |
|
|
Style Transfer (Q)
|
96% |
74011
95.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13303
491.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14132
521.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12384
457.3 IPS |
|
|
Text Classification (SP)
|
99% |
4487
5.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7061
9.42 KIPS |
|
|
Text Classification (Q)
|
92% |
7161
9.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4751
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4930
84.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4035
69.7 IPS |
