MacBook Pro (16-inch, 2023)
Geekbench AI Score
11314
Single Precision Score
12281
Half Precision Score
10726
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 26 2024 12:03 AM |
| Views | 3 |
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% |
5433
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5566
1.04 KIPS |
|
|
Image Classification (Q)
|
97% |
4760
888.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8089
131.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8168
132.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8105
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45171
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47574
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44257
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
5098
404.4 IPS |
|
|
Object Detection (HP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (Q)
|
91% |
4363
348.6 IPS |
|
|
Face Detection (SP)
|
100% |
18162
215.8 IPS |
|
|
Face Detection (HP)
|
100% |
19488
231.6 IPS |
|
|
Face Detection (Q)
|
100% |
14070
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25903
199.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26837
206.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22637
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
80072
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
85974
110.5 IPS |
|
|
Style Transfer (Q)
|
96% |
80428
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17823
658.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18659
689.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15248
563.0 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2048
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1716
29.7 IPS |
