MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4173
Single Precision Score
6870
Half Precision Score
5607
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2814
523.3 IPS |
|
|
Image Classification (Q)
|
96% |
1955
365.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8996
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17331
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14934
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3808
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6776
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
4028
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7274
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13378
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9236
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22343
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32884
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27453
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5692
210.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4316
159.4 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4823
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4792
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6465
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6459
111.6 IPS |
