MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4149
Single Precision Score
6879
Half Precision Score
5573
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 04:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
2796
520.0 IPS |
|
|
Image Classification (Q)
|
96% |
1940
362.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8851
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17240
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14880
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.6 IPS |
|
|
Object Detection (HP)
|
97% |
3206
255.2 IPS |
|
|
Object Detection (Q)
|
94% |
2292
182.7 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6560
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3941
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13433
103.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9183
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22298
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33418
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27438
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5682
209.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4247
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5002
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4841
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6366
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6401
110.6 IPS |
