MacBook Pro (16-inch, 2023)
Geekbench AI Score
4187
Single Precision Score
6744
Half Precision Score
5288
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 25 2025 04:33 PM |
| Views | 7 |
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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.3 IPS |
|
|
Image Classification (Q)
|
96% |
1660
310.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2952
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12916
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25194
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19111
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
97% |
2724
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
2018
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
5895
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3394
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6282
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12097
93.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8252
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24717
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38258
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28848
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4636
79.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6319
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6228
107.6 IPS |
