MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
10493
Single Precision Score
11033
Half Precision Score
10046
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | buggshash |
| Upload Date | December 12 2024 06:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5836
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6302
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
4923
918.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6797
110.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8723
141.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9082
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34893
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36443
42.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
34998
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
5725
454.1 IPS |
|
|
Object Detection (HP)
|
100% |
6100
483.8 IPS |
|
|
Object Detection (Q)
|
91% |
5110
408.3 IPS |
|
|
Face Detection (SP)
|
100% |
15747
187.1 IPS |
|
|
Face Detection (HP)
|
100% |
19166
227.7 IPS |
|
|
Face Detection (Q)
|
100% |
14355
170.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22925
176.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25082
193.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21149
165.3 IPS |
|
|
Style Transfer (SP)
|
100% |
76964
98.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87612
112.6 IPS |
|
|
Style Transfer (Q)
|
96% |
81703
105.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14349
529.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15700
579.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11756
434.1 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4911
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4859
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
925
16.0 IPS |
