MacBook Pro (14-inch, 2023)
Geekbench AI Score
10996
Single Precision Score
12314
Half Precision Score
11291
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | May 31 2025 01:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5331
991.5 IPS |
|
|
Image Classification (HP)
|
100% |
5551
1.03 KIPS |
|
|
Image Classification (Q)
|
96% |
5090
950.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9216
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9077
147.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8894
144.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44517
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48786
56.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47253
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
5027
398.7 IPS |
|
|
Object Detection (HP)
|
100% |
5082
403.1 IPS |
|
|
Object Detection (Q)
|
92% |
4639
370.3 IPS |
|
|
Face Detection (SP)
|
100% |
18113
215.2 IPS |
|
|
Face Detection (HP)
|
100% |
19812
235.4 IPS |
|
|
Face Detection (Q)
|
100% |
16671
198.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25670
197.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26970
207.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
24624
192.3 IPS |
|
|
Style Transfer (SP)
|
100% |
80143
103.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86595
111.3 IPS |
|
|
Style Transfer (Q)
|
96% |
84389
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17618
650.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18558
685.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16349
603.7 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4057
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1478
25.5 IPS |
