MacBook Pro (16-inch, 2023)
Geekbench AI Score
10974
Single Precision Score
10874
Half Precision Score
10592
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 29 2024 01:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
5592
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
1691
314.6 IPS |
|
|
Image Classification (Q)
|
97% |
4760
888.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8200
132.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8201
132.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6340
102.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34484
40.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
47794
55.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
39408
46.2 IPS |
|
|
Object Detection (SP)
|
100% |
5103
404.8 IPS |
|
|
Object Detection (HP)
|
100% |
5180
410.9 IPS |
|
|
Object Detection (Q)
|
91% |
4381
350.0 IPS |
|
|
Face Detection (SP)
|
100% |
17524
208.2 IPS |
|
|
Face Detection (HP)
|
100% |
19685
233.9 IPS |
|
|
Face Detection (Q)
|
100% |
14075
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26133
201.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27273
210.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22912
179.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80073
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86048
110.6 IPS |
|
|
Style Transfer (Q)
|
96% |
80566
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17954
663.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18931
699.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15338
566.4 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2125
36.7 IPS |
