MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4194
Single Precision Score
6981
Half Precision Score
5619
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 06:38 PM |
| Views | 4 |
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, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (HP)
|
100% |
2793
519.4 IPS |
|
|
Image Classification (Q)
|
96% |
1924
359.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17269
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14899
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3216
256.0 IPS |
|
|
Object Detection (Q)
|
94% |
2300
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3842
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6902
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4059
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7275
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13425
103.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9215
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33516
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27935
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5889
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4236
156.4 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4979
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6365
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6478
111.9 IPS |
