MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
3911
Single Precision Score
6756
Half Precision Score
5421
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ludacrisvp |
| Upload Date | May 01 2025 01:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1472
273.7 IPS |
|
|
Image Classification (HP)
|
100% |
2817
523.9 IPS |
|
|
Image Classification (Q)
|
96% |
1885
352.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3144
51.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8740
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17020
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14467
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1713
135.9 IPS |
|
|
Object Detection (HP)
|
97% |
3033
241.5 IPS |
|
|
Object Detection (Q)
|
94% |
2216
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
6111
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
3451
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6739
51.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12400
95.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8669
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21530
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33293
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27524
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5033
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5898
217.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4299
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5210
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6371
110.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6336
109.5 IPS |
