MacBook Pro (14-inch, 2023)
Geekbench AI Score
4186
Single Precision Score
6813
Half Precision Score
5413
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | HeyJude5 |
| Upload Date | August 21 2025 08:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.0 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2850
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12732
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26586
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20809
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
2024
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
6063
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6280
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11782
91.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8118
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26003
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40753
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32381
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5082
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6259
231.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4514
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3856
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4503
77.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7601
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
