MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3923
Single Precision Score
5561
Half Precision Score
4808
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 07:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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% |
1655
307.8 IPS |
|
|
Image Classification (HP)
|
100% |
2117
393.7 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2232
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8575
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17024
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14694
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
2555
203.4 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
3272
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
5065
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3416
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6731
51.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
9665
74.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7387
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21465
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31041
39.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25883
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4520
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
4509
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3197
55.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4871
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4844
83.7 IPS |
