MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3461
Single Precision Score
6552
Half Precision Score
5621
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | December 16 2025 02:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1541
286.6 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
96% |
2059
384.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3091
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
14015
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11346
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
97% |
3260
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
7100
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
4079
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6057
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12812
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8656
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20161
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33478
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28074
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4809
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5084
6.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5023
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4221
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7757
134.0 IPS |
