MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4035
Single Precision Score
7147
Half Precision Score
5796
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 19 2025 06:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1528
284.2 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3315
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8361
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
17555
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15111
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1732
137.4 IPS |
|
|
Object Detection (HP)
|
97% |
3266
260.0 IPS |
|
|
Object Detection (Q)
|
94% |
2381
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6908
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3988
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7087
54.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12921
99.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9125
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22004
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33864
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28147
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4914
181.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4449
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5648
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3226
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6656
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6702
115.8 IPS |
