MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4012
Single Precision Score
6940
Half Precision Score
5696
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 09:24 PM |
| Views | 5 |
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 | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
2733
508.3 IPS |
|
|
Image Classification (Q)
|
96% |
1982
370.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3150
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8288
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
17161
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15003
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3166
252.1 IPS |
|
|
Object Detection (Q)
|
94% |
2288
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
6898
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
3930
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7014
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12650
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8903
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21973
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33250
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27797
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4274
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5083
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7303
126.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7949
137.4 IPS |
