MacBook Pro (16-inch, 2023)
Geekbench AI Score
11551
Single Precision Score
12738
Half Precision Score
11813
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | May 05 2025 01:48 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5378
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5500
1.02 KIPS |
|
|
Image Classification (Q)
|
96% |
5078
948.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9163
148.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9223
149.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8823
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44942
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47514
55.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
45883
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
4989
395.8 IPS |
|
|
Object Detection (HP)
|
100% |
5064
401.7 IPS |
|
|
Object Detection (Q)
|
92% |
4659
371.9 IPS |
|
|
Face Detection (SP)
|
100% |
18098
215.0 IPS |
|
|
Face Detection (HP)
|
100% |
19526
232.0 IPS |
|
|
Face Detection (Q)
|
100% |
16505
196.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25771
198.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27409
211.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
25094
196.2 IPS |
|
|
Style Transfer (SP)
|
100% |
80060
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85503
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
83412
107.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17628
650.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18293
675.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16123
595.3 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2633
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2426
41.9 IPS |
