MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4152
Single Precision Score
6980
Half Precision Score
6100
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 04:24 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.3 IPS |
|
|
Image Classification (Q)
|
99% |
2964
552.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3022
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8697
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17346
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14832
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3279
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2355
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
3546
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6801
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
3990
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13472
104.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13449
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22405
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33989
43.7 IPS |
|
|
Style Transfer (Q)
|
100% |
33998
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4294
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4986
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5013
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5786
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5815
100.5 IPS |
