250620 MacBook Pro M3 Pro 14 MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13430
Single Precision Score
15551
Half Precision Score
14386
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gethen |
| Upload Date | June 20 2025 10:45 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6265
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6973
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6219
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10899
176.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12046
195.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11495
186.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45499
53.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
47218
55.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46700
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6180
490.2 IPS |
|
|
Object Detection (HP)
|
100% |
6628
525.8 IPS |
|
|
Object Detection (Q)
|
92% |
5932
473.5 IPS |
|
|
Face Detection (SP)
|
100% |
17979
213.6 IPS |
|
|
Face Detection (HP)
|
100% |
22999
273.3 IPS |
|
|
Face Detection (Q)
|
100% |
18276
217.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28149
216.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30161
232.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
27916
218.1 IPS |
|
|
Style Transfer (SP)
|
100% |
93819
120.6 IPS |
|
|
Style Transfer (HP)
|
100% |
105283
135.3 IPS |
|
|
Style Transfer (Q)
|
96% |
101698
131.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15388
568.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16406
605.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14205
524.5 IPS |
|
|
Text Classification (SP)
|
100% |
2874
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5123
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5082
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4737
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5128
88.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5121
88.5 IPS |
