MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4149
Single Precision Score
6935
Half Precision Score
5603
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kirdol |
| Upload Date | December 24 2024 11:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.04 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (HP)
|
100% |
2817
523.8 IPS |
|
|
Image Classification (Q)
|
96% |
1939
362.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3325
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8867
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17265
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14874
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3197
254.5 IPS |
|
|
Object Detection (Q)
|
94% |
2298
183.1 IPS |
|
|
Face Detection (SP)
|
100% |
3641
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
6608
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3964
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7181
55.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13360
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9157
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22180
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33624
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27827
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4340
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4958
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4959
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6417
110.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6376
110.2 IPS |
