MacBook Pro (14-inch, 2023)
Geekbench AI Score
4125
Single Precision Score
6582
Half Precision Score
5269
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 20 2025 11:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2252
418.8 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2830
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12669
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24806
28.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
18735
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.2 IPS |
|
|
Object Detection (HP)
|
97% |
2646
210.7 IPS |
|
|
Object Detection (Q)
|
94% |
1987
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5803
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3389
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6197
47.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11281
87.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7915
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24892
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38664
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30557
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5057
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6308
232.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4498
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6477
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6347
109.7 IPS |
