MacBook Pro (16-inch, 2023)
Geekbench AI Score
4245
Single Precision Score
6842
Half Precision Score
5374
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 26 2024 12:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1405
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2702
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2995
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12998
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25383
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19707
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
97% |
2748
218.8 IPS |
|
|
Object Detection (Q)
|
94% |
2016
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
3669
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5860
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3464
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6435
49.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12257
94.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8256
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25122
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38840
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29672
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5212
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4517
166.8 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4043
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4746
81.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6368
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6539
113.0 IPS |
