MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4186
Single Precision Score
6930
Half Precision Score
5629
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sherkan2000 |
| Upload Date | February 11 2025 12:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
2797
520.1 IPS |
|
|
Image Classification (Q)
|
96% |
1943
362.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8959
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17319
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14944
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
97% |
3226
256.8 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
6739
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7239
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13384
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9215
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22449
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33543
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27584
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5296
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5803
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4336
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4865
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6509
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6586
113.8 IPS |
