MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
13258
Single Precision Score
15267
Half Precision Score
13729
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 27 2025 01:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
6403
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6996
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6393
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10829
175.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11928
193.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11533
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44049
51.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49388
57.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
47731
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
6093
483.3 IPS |
|
|
Object Detection (HP)
|
100% |
6292
499.1 IPS |
|
|
Object Detection (Q)
|
92% |
5866
468.3 IPS |
|
|
Face Detection (SP)
|
100% |
17681
210.1 IPS |
|
|
Face Detection (HP)
|
100% |
23205
275.7 IPS |
|
|
Face Detection (Q)
|
100% |
18826
223.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27652
213.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
31101
239.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
27760
216.8 IPS |
|
|
Style Transfer (SP)
|
100% |
93820
120.6 IPS |
|
|
Style Transfer (HP)
|
100% |
106792
137.3 IPS |
|
|
Style Transfer (Q)
|
96% |
102570
132.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14829
547.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16326
602.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13679
505.1 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4824
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4468
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4356
75.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3258
56.3 IPS |
