MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2874
Single Precision Score
20581
Half Precision Score
22350
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | SilentGSG9 |
| Upload Date | August 21 2024 07:31 AM |
| Views | 13 |
| Notes | With energy saving mode |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | 2.61 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.2 IPS |
|
|
Image Classification (HP)
|
100% |
13470
2.51 KIPS |
|
|
Image Classification (Q)
|
99% |
14874
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12612
204.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
12587
204.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6577
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
93169
108.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
90687
106.4 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
14192
1.13 KIPS |
|
|
Object Detection (Q)
|
91% |
15814
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
22845
271.5 IPS |
|
|
Face Detection (Q)
|
100% |
33793
401.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71460
550.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
77899
602.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16283
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
151713
195.0 IPS |
|
|
Style Transfer (Q)
|
100% |
151889
195.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37136
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
44760
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3540
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3484
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1791
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1865
32.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1858
32.1 IPS |
