MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4155
Single Precision Score
6873
Half Precision Score
6000
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | August 15 2024 05:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
2794
519.6 IPS |
|
|
Image Classification (Q)
|
99% |
2793
520.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2890
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8938
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17262
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14668
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3197
254.5 IPS |
|
|
Object Detection (Q)
|
94% |
2294
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
3781
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
6744
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3999
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7209
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13292
102.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13272
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22373
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33379
42.9 IPS |
|
|
Style Transfer (Q)
|
100% |
33311
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4192
155.3 IPS |
|
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4728
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4708
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6422
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6391
110.4 IPS |
