MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4144
Single Precision Score
6835
Half Precision Score
5560
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pythagoras |
| Upload Date | October 27 2024 02:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
2814
523.4 IPS |
|
|
Image Classification (Q)
|
96% |
1946
363.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3315
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8940
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17249
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14869
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
3215
255.9 IPS |
|
|
Object Detection (Q)
|
94% |
2287
182.3 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6747
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
3980
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7249
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13410
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9189
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22412
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33153
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27566
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5633
208.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4239
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4734
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6342
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6369
110.1 IPS |
