MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4153
Single Precision Score
6877
Half Precision Score
6020
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pythagoras |
| Upload Date | August 16 2024 01:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
2803
521.4 IPS |
|
|
Image Classification (Q)
|
99% |
2794
521.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3014
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8932
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17237
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14683
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3201
254.9 IPS |
|
|
Object Detection (Q)
|
94% |
2288
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
6668
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
4003
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7237
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13267
102.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13247
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22316
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33112
42.6 IPS |
|
|
Style Transfer (Q)
|
100% |
32870
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5223
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4183
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4713
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4738
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6410
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6406
110.7 IPS |
