MacBook Pro (14-inch, 2023)
Geekbench AI Score
4135
Single Precision Score
28154
Half Precision Score
31342
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | October 09 2025 04:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
15540
2.89 KIPS |
|
|
Image Classification (Q)
|
96% |
18475
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20167
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25210
408.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11931
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106691
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105292
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1650
130.9 IPS |
|
|
Object Detection (HP)
|
99% |
15901
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17585
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3614
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
36869
438.1 IPS |
|
|
Face Detection (Q)
|
100% |
47848
568.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6142
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
90135
694.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
112815
881.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25765
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
206253
265.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195718
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45717
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52025
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4269
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4373
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4357
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4521
78.1 IPS |
