MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4178
Single Precision Score
6887
Half Precision Score
5611
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
2807
522.1 IPS |
|
|
Image Classification (Q)
|
96% |
1954
364.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3345
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8988
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17302
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14885
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.7 IPS |
|
|
Object Detection (HP)
|
97% |
3221
256.4 IPS |
|
|
Object Detection (Q)
|
94% |
2306
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
4039
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7276
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13393
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9189
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22370
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32879
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27416
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5267
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5665
209.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4249
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4913
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4945
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6523
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6460
111.6 IPS |
