MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13291
Single Precision Score
15433
Half Precision Score
14262
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | krish1108 |
| Upload Date | April 24 2025 04:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| 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% |
6163
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6736
1.25 KIPS |
|
|
Image Classification (Q)
|
96% |
6188
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10874
176.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11896
192.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11354
184.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45538
53.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48146
56.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46645
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
6081
482.3 IPS |
|
|
Object Detection (HP)
|
100% |
6432
510.2 IPS |
|
|
Object Detection (Q)
|
92% |
5752
459.1 IPS |
|
|
Face Detection (SP)
|
100% |
17803
211.5 IPS |
|
|
Face Detection (HP)
|
100% |
22711
269.9 IPS |
|
|
Face Detection (Q)
|
100% |
18422
218.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28017
215.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30343
233.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
27726
216.8 IPS |
|
|
Style Transfer (SP)
|
100% |
93548
120.3 IPS |
|
|
Style Transfer (HP)
|
100% |
106433
136.8 IPS |
|
|
Style Transfer (Q)
|
96% |
102120
131.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15089
557.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16502
609.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14173
523.4 IPS |
|
|
Text Classification (SP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5043
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4973
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4618
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5027
86.9 IPS |
