MacBook Pro (16-inch, 2023)
Geekbench AI Score
4170
Single Precision Score
6747
Half Precision Score
5285
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 28 2024 05:30 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2579
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2948
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12992
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
25262
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
19120
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
2013
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3408
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6291
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12492
96.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8203
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24789
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38427
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29218
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5127
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4421
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3981
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6267
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6305
109.0 IPS |
