MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
9290
Single Precision Score
9690
Half Precision Score
8427
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | morglor |
| Upload Date | August 24 2024 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5160
959.7 IPS |
|
|
Image Classification (HP)
|
100% |
5444
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
4839
902.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6972
113.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8279
134.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
8093
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34648
40.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36752
42.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33511
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
5272
418.2 IPS |
|
|
Object Detection (HP)
|
100% |
5646
447.8 IPS |
|
|
Object Detection (Q)
|
92% |
4445
354.8 IPS |
|
|
Face Detection (SP)
|
100% |
15108
179.5 IPS |
|
|
Face Detection (HP)
|
100% |
17983
213.7 IPS |
|
|
Face Detection (Q)
|
100% |
13048
155.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22665
174.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24371
187.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
24538
189.7 IPS |
|
|
Style Transfer (SP)
|
100% |
76803
98.7 IPS |
|
|
Style Transfer (HP)
|
100% |
86316
111.0 IPS |
|
|
Style Transfer (Q)
|
100% |
84858
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13461
497.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14770
545.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10761
398.7 IPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
93% |
610
818.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1738
30.0 IPS |
