MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4109
Single Precision Score
31076
Half Precision Score
35016
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | July 01 2025 08:53 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
17021
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
19641
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22587
366.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28275
458.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8880
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121844
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120928
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
100% |
17517
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20259
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
39690
471.6 IPS |
|
|
Face Detection (Q)
|
100% |
51406
610.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7074
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97484
751.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
121531
950.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22040
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226126
290.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220541
284.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5198
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46412
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57000
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5274
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4781
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4994
86.3 IPS |
