MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4161
Single Precision Score
6926
Half Precision Score
5590
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jeeerim |
| Upload Date | December 05 2024 05:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.1 IPS |
|
|
Image Classification (Q)
|
96% |
1935
361.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1898
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8935
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17276
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14888
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1840
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3206
255.3 IPS |
|
|
Object Detection (Q)
|
94% |
2295
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
6656
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
3928
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7239
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13424
103.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9162
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22321
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33450
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27477
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5710
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4255
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4963
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6465
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6445
111.4 IPS |
