MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4187
Single Precision Score
26694
Half Precision Score
29492
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mashimaro75 |
| Upload Date | November 16 2024 05:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1584
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
16417
3.05 KIPS |
|
|
Image Classification (Q)
|
99% |
17474
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17508
283.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
17461
283.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8991
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118187
137.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
116466
136.6 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
15929
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
20253
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
25468
302.6 IPS |
|
|
Face Detection (Q)
|
100% |
36851
437.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7250
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80547
620.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
90741
701.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22441
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
166328
213.8 IPS |
|
|
Style Transfer (Q)
|
100% |
167998
216.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45998
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
55652
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4761
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4677
80.8 IPS |
