MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4155
Single Precision Score
6917
Half Precision Score
5598
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 13 2024 10:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
2830
526.3 IPS |
|
|
Image Classification (Q)
|
96% |
1950
364.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3001
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8921
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17256
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14872
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
97% |
3214
255.8 IPS |
|
|
Object Detection (Q)
|
94% |
2297
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6601
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
3975
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7193
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13406
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9187
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22384
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32821
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27368
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4244
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4948
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4958
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6454
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6486
112.1 IPS |
