MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10388
Single Precision Score
12093
Half Precision Score
10961
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kirdol |
| Upload Date | December 24 2024 11:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
5608
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5938
1.10 KIPS |
|
|
Image Classification (Q)
|
97% |
4955
924.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6668
108.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8579
139.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8824
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
34769
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
36616
42.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
34845
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
5483
434.9 IPS |
|
|
Object Detection (HP)
|
100% |
5887
466.9 IPS |
|
|
Object Detection (Q)
|
91% |
4988
398.6 IPS |
|
|
Face Detection (SP)
|
100% |
15684
186.4 IPS |
|
|
Face Detection (HP)
|
100% |
19246
228.7 IPS |
|
|
Face Detection (Q)
|
100% |
14204
168.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
22969
177.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24423
188.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21406
167.3 IPS |
|
|
Style Transfer (SP)
|
100% |
76193
97.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86408
111.1 IPS |
|
|
Style Transfer (Q)
|
96% |
81425
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14448
533.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16098
594.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12325
455.1 IPS |
|
|
Text Classification (SP)
|
100% |
2723
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4779
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1957
33.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2259
39.0 IPS |
