MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9332
Single Precision Score
10894
Half Precision Score
9629
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 02 2025 06:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4393
817.0 IPS |
|
|
Image Classification (HP)
|
100% |
4767
886.6 IPS |
|
|
Image Classification (Q)
|
96% |
4252
794.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6499
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7022
113.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6758
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23804
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26619
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25999
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.5 IPS |
|
|
Object Detection (HP)
|
100% |
4840
383.9 IPS |
|
|
Object Detection (Q)
|
92% |
4509
359.9 IPS |
|
|
Face Detection (SP)
|
100% |
11701
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
15615
185.5 IPS |
|
|
Face Detection (Q)
|
100% |
12385
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18548
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19986
154.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
18574
145.1 IPS |
|
|
Style Transfer (SP)
|
100% |
50443
64.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60234
77.4 IPS |
|
|
Style Transfer (Q)
|
96% |
58267
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10617
392.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10888
402.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9402
347.2 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2893
50.0 IPS |
