MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4162
Single Precision Score
6916
Half Precision Score
5586
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 08:46 PM |
| Views | 2 |
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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.8 IPS |
|
|
Image Classification (HP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (Q)
|
96% |
1943
362.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8869
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17214
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14836
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.4 IPS |
|
|
Object Detection (HP)
|
97% |
3201
254.8 IPS |
|
|
Object Detection (Q)
|
94% |
2282
181.9 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6599
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3952
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7223
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13359
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9124
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22171
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33180
42.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27502
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4264
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
2821
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4987
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4959
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6449
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6459
111.6 IPS |
