MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13374
Single Precision Score
15669
Half Precision Score
14329
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 02:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
6509
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
7356
1.37 KIPS |
|
|
Image Classification (Q)
|
96% |
6077
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10900
176.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12007
194.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11438
185.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
43967
51.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49166
57.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
47363
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
6057
480.5 IPS |
|
|
Object Detection (HP)
|
100% |
6374
505.6 IPS |
|
|
Object Detection (Q)
|
92% |
5890
470.1 IPS |
|
|
Face Detection (SP)
|
100% |
17750
210.9 IPS |
|
|
Face Detection (HP)
|
100% |
23136
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
18705
222.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27835
214.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30369
234.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
27366
213.8 IPS |
|
|
Style Transfer (SP)
|
100% |
92147
118.5 IPS |
|
|
Style Transfer (HP)
|
100% |
107619
138.3 IPS |
|
|
Style Transfer (Q)
|
96% |
104088
134.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15028
554.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16241
599.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13728
506.9 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5145
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5077
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4712
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5104
87.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5068
87.6 IPS |
