MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3943
Single Precision Score
5556
Half Precision Score
4809
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jeanchrijaz |
| Upload Date | September 10 2024 02:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1673
311.2 IPS |
|
|
Image Classification (HP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (Q)
|
96% |
1686
314.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2198
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8637
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17034
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14729
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
2574
204.9 IPS |
|
|
Object Detection (Q)
|
94% |
1957
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
5015
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
3391
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6749
52.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
9650
74.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7416
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21595
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31278
40.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26165
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5039
186.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5946
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4348
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4547
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4509
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4862
84.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4806
83.1 IPS |
