MacBook Pro (16-inch, 2023)
Geekbench AI Score
11212
Single Precision Score
12225
Half Precision Score
10631
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 30 2024 08:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
5381
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5495
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4754
887.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8039
130.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8096
131.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8028
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45015
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47506
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44179
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
5062
401.5 IPS |
|
|
Object Detection (HP)
|
100% |
5079
402.8 IPS |
|
|
Object Detection (Q)
|
91% |
4493
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
18197
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
19787
235.1 IPS |
|
|
Face Detection (Q)
|
100% |
14022
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25708
198.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27100
208.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22337
174.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79915
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85961
110.5 IPS |
|
|
Style Transfer (Q)
|
96% |
79864
103.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17680
652.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18590
686.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15101
557.6 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2116
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1601
27.7 IPS |
