MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3952
Single Precision Score
5534
Half Precision Score
4822
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jackhuang2024 |
| Upload Date | September 20 2024 09:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1676
311.6 IPS |
|
|
Image Classification (HP)
|
100% |
2121
394.5 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2209
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8582
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17096
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14760
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.5 IPS |
|
|
Object Detection (HP)
|
97% |
2575
205.0 IPS |
|
|
Object Detection (Q)
|
94% |
1969
156.9 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
5096
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
3390
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6732
51.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9650
74.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7417
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21567
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31451
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26209
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5052
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4349
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4503
6.01 KIPS |
|
|
Text Classification (Q)
|
93% |
4571
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4836
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4839
83.6 IPS |
