MacBook Pro (14-inch, 2023)
Geekbench AI Score
12628
Single Precision Score
13780
Half Precision Score
11864
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nixxx |
| Upload Date | February 18 2026 11:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5409
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5586
1.04 KIPS |
|
|
Image Classification (Q)
|
94% |
5332
996.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9720
157.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9369
151.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8814
142.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44992
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48772
56.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47359
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
4999
396.5 IPS |
|
|
Object Detection (HP)
|
100% |
5040
399.8 IPS |
|
|
Object Detection (Q)
|
91% |
4762
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
19273
229.0 IPS |
|
|
Face Detection (HP)
|
100% |
20337
241.6 IPS |
|
|
Face Detection (Q)
|
100% |
18450
219.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25936
199.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26872
207.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
25189
197.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80137
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86628
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
84600
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17339
640.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18580
686.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16098
594.4 IPS |
|
|
Text Classification (SP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4115
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2003
34.6 IPS |
