MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4185
Single Precision Score
28268
Half Precision Score
31933
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mashimaro75 |
| Upload Date | October 22 2024 11:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
15414
2.87 KIPS |
|
|
Image Classification (Q)
|
99% |
17458
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17529
284.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
17520
284.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8993
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116745
136.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
116127
136.2 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
16342
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
20018
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
24758
294.2 IPS |
|
|
Face Detection (Q)
|
100% |
40630
482.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7292
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
81194
625.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
91335
706.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22402
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
167050
214.7 IPS |
|
|
Style Transfer (Q)
|
100% |
166913
214.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5271
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44617
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
53837
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2806
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4958
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4940
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8510
146.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9416
162.7 IPS |
