MacBook Pro (16-inch, 2023)
Geekbench AI Score
11373
Single Precision Score
12448
Half Precision Score
10999
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 17 2024 01:14 AM |
| Views | 5 |
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% |
5529
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5705
1.06 KIPS |
|
|
Image Classification (Q)
|
97% |
4832
901.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8144
132.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8215
133.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8105
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45206
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47714
55.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
44446
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
5104
404.9 IPS |
|
|
Object Detection (HP)
|
100% |
5260
417.2 IPS |
|
|
Object Detection (Q)
|
91% |
4406
352.1 IPS |
|
|
Face Detection (SP)
|
100% |
18492
219.7 IPS |
|
|
Face Detection (HP)
|
100% |
20128
239.2 IPS |
|
|
Face Detection (Q)
|
100% |
14055
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25995
200.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27222
209.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22911
179.1 IPS |
|
|
Style Transfer (SP)
|
100% |
80544
103.5 IPS |
|
|
Style Transfer (HP)
|
100% |
86309
111.0 IPS |
|
|
Style Transfer (Q)
|
96% |
80466
103.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17931
662.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18906
698.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15408
569.0 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2161
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2102
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2106
36.4 IPS |
