MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4166
Single Precision Score
6862
Half Precision Score
5591
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | berkctezc |
| Upload Date | February 05 2025 06:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.5 IPS |
|
|
Image Classification (Q)
|
96% |
1953
364.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3325
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8942
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17288
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14918
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.6 IPS |
|
|
Object Detection (HP)
|
97% |
3217
256.1 IPS |
|
|
Object Detection (Q)
|
94% |
2307
183.9 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6569
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3970
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7222
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13390
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9204
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22367
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33005
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27433
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4314
159.3 IPS |
|
|
Text Classification (SP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4837
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6407
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6392
110.5 IPS |
