MacBook Pro (16-inch, 2023)
Geekbench AI Score
4192
Single Precision Score
6756
Half Precision Score
5326
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 22 2025 01:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2957
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12913
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25727
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
19654
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
2718
216.4 IPS |
|
|
Object Detection (Q)
|
94% |
2015
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
5779
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3460
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6507
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12416
96.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8298
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25081
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38696
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29698
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6954
256.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4457
164.6 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4579
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6327
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6234
107.7 IPS |
