MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
7175
Single Precision Score
8814
Half Precision Score
7928
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4205
782.0 IPS |
|
|
Image Classification (HP)
|
100% |
4563
848.5 IPS |
|
|
Image Classification (Q)
|
97% |
3924
732.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4174
67.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5851
94.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6281
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24763
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26475
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25127
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
4210
333.9 IPS |
|
|
Object Detection (HP)
|
100% |
4575
362.9 IPS |
|
|
Object Detection (Q)
|
91% |
4080
326.0 IPS |
|
|
Face Detection (SP)
|
100% |
8692
103.3 IPS |
|
|
Face Detection (HP)
|
100% |
14853
176.5 IPS |
|
|
Face Detection (Q)
|
100% |
10799
128.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18245
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20330
156.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
17507
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51643
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59803
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56498
72.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10814
399.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11605
428.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9379
346.3 IPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5030
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4923
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
788
13.6 IPS |
