MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4190
Single Precision Score
6918
Half Precision Score
5582
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 13 2024 11:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5070a) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
2800
520.6 IPS |
|
|
Image Classification (Q)
|
96% |
1934
361.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17275
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14886
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3216
256.1 IPS |
|
|
Object Detection (Q)
|
94% |
2304
183.7 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6834
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4028
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7263
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13369
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9168
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22424
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33394
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27481
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5266
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5756
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4240
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4716
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4776
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6464
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6437
111.2 IPS |
