MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3948
Single Precision Score
5582
Half Precision Score
4819
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 12:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.8 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2208
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17089
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14757
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
2570
204.6 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3400
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6731
51.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9641
74.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
7416
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21515
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31420
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26176
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4349
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4607
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4548
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4831
83.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4863
84.0 IPS |
