MacBook Pro (14-inch, 2023)
Geekbench AI Score
4249
Single Precision Score
6815
Half Precision Score
5438
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Venturouster17 |
| Upload Date | September 03 2025 05:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
1433
266.4 IPS |
|
|
Image Classification (HP)
|
100% |
2264
421.0 IPS |
|
|
Image Classification (Q)
|
96% |
1674
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2875
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12807
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26882
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
20555
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
1724
136.7 IPS |
|
|
Object Detection (HP)
|
97% |
2749
218.9 IPS |
|
|
Object Detection (Q)
|
94% |
1990
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
3707
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3476
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6370
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11504
88.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8074
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26208
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40848
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32223
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5096
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6288
232.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4520
166.9 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7053
121.9 IPS |
