MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4216
Single Precision Score
7004
Half Precision Score
5643
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:00 AM |
| Views | 3 |
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, 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% |
1584
294.7 IPS |
|
|
Image Classification (HP)
|
100% |
2811
522.7 IPS |
|
|
Image Classification (Q)
|
96% |
1951
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8957
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17276
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14887
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3214
255.9 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3724
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6677
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
4013
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7233
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13369
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9161
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22245
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33668
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27758
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5345
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5940
219.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4285
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5017
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4998
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6725
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6706
115.9 IPS |
