MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8108
Single Precision Score
9617
Half Precision Score
7017
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 04:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4207
782.3 IPS |
|
|
Image Classification (HP)
|
100% |
4522
840.9 IPS |
|
|
Image Classification (Q)
|
99% |
4059
757.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5992
97.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5858
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25045
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26520
30.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
24625
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
4392
348.3 IPS |
|
|
Object Detection (HP)
|
100% |
4819
382.3 IPS |
|
|
Object Detection (Q)
|
91% |
3786
302.5 IPS |
|
|
Face Detection (SP)
|
100% |
11791
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
14979
178.0 IPS |
|
|
Face Detection (Q)
|
100% |
10739
127.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18568
143.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20488
157.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
2976
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50259
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60412
77.7 IPS |
|
|
Style Transfer (Q)
|
100% |
59958
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10976
405.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11675
431.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8880
329.0 IPS |
|
|
Text Classification (SP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5052
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5067
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1516
26.2 IPS |
