MacBook Pro (14-inch, 2023)
Geekbench AI Score
3987
Single Precision Score
27725
Half Precision Score
30745
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | szaki |
| Upload Date | October 25 2025 10:30 PM |
| Views | 8 |
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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
15590
2.90 KIPS |
|
|
Image Classification (Q)
|
96% |
18348
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20206
327.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24801
402.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11870
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106563
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105866
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
16145
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17617
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
36096
428.9 IPS |
|
|
Face Detection (Q)
|
100% |
46910
557.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5888
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
89339
688.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111580
871.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24718
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
206195
265.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192827
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45450
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52374
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4150
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4054
70.1 IPS |
