MacBook Pro (16-inch, 2023)
Geekbench AI Score
4142
Single Precision Score
6758
Half Precision Score
5287
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | brocksuire |
| Upload Date | October 28 2024 05:31 AM |
| Views | 2 |
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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2955
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12916
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25748
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
18977
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
97% |
2712
215.9 IPS |
|
|
Object Detection (Q)
|
94% |
2013
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3469
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6311
48.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12172
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8208
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24856
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38571
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29567
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4439
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3967
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3943
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4307
74.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6287
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6247
108.0 IPS |
