MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2361
Single Precision Score
11525
Half Precision Score
12197
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | danielemateria |
| Upload Date | August 19 2024 05:16 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.93 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
5466
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5877
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5500
89.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5308
86.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8317
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
78375
91.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
79049
92.7 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
100% |
7364
584.1 IPS |
|
|
Object Detection (Q)
|
93% |
7760
619.2 IPS |
|
|
Face Detection (SP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
10904
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
12912
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4506
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45236
348.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
52404
405.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12128
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122796
157.9 IPS |
|
|
Style Transfer (Q)
|
100% |
119893
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3568
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16011
591.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20428
756.8 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.3 IPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
93% |
1024
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2244
38.8 IPS |
