MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
12356
Single Precision Score
14672
Half Precision Score
13233
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jenswollenweber |
| Upload Date | December 03 2025 01:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6387
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7055
1.31 KIPS |
|
|
Image Classification (Q)
|
96% |
6051
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10719
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11793
191.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11382
184.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
43877
51.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49248
57.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
47670
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
6007
476.5 IPS |
|
|
Object Detection (HP)
|
100% |
6378
505.9 IPS |
|
|
Object Detection (Q)
|
92% |
5896
470.6 IPS |
|
|
Face Detection (SP)
|
100% |
17607
209.2 IPS |
|
|
Face Detection (HP)
|
100% |
23442
278.5 IPS |
|
|
Face Detection (Q)
|
100% |
18089
214.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27132
209.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29848
230.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
28374
221.6 IPS |
|
|
Style Transfer (SP)
|
100% |
90084
115.8 IPS |
|
|
Style Transfer (HP)
|
100% |
105983
136.2 IPS |
|
|
Style Transfer (Q)
|
96% |
102181
131.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15322
565.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16883
623.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14402
531.8 IPS |
|
|
Text Classification (SP)
|
100% |
3098
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5335
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5284
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2252
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2649
45.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2132
36.8 IPS |
