MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4158
Single Precision Score
6857
Half Precision Score
5573
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FN389 |
| Upload Date | October 30 2024 02:38 PM |
| Views | 16 |
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% |
1585
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
2803
521.4 IPS |
|
|
Image Classification (Q)
|
96% |
1947
363.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2801
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8872
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17297
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14805
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3213
255.8 IPS |
|
|
Object Detection (Q)
|
94% |
2300
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
6643
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7230
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13345
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9197
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22298
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32928
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27386
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5232
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5663
209.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4249
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4976
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4836
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6406
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6457
111.6 IPS |
