MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10555
Single Precision Score
12011
Half Precision Score
10687
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lechnowak |
| Upload Date | November 20 2024 06:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5694
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5906
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
5001
933.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6883
111.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8517
138.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8899
144.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34789
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36813
43.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
34981
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5581
442.7 IPS |
|
|
Object Detection (HP)
|
100% |
5884
466.7 IPS |
|
|
Object Detection (Q)
|
91% |
4960
396.3 IPS |
|
|
Face Detection (SP)
|
100% |
15991
190.0 IPS |
|
|
Face Detection (HP)
|
100% |
18964
225.3 IPS |
|
|
Face Detection (Q)
|
100% |
14288
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22670
174.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24552
189.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20604
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
76963
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86545
111.3 IPS |
|
|
Style Transfer (Q)
|
96% |
80863
104.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13802
509.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14991
553.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11570
427.2 IPS |
|
|
Text Classification (SP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4853
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1884
32.6 IPS |
