MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4180
Single Precision Score
6867
Half Precision Score
5585
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 04:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1604
298.2 IPS |
|
|
Image Classification (HP)
|
100% |
2820
524.5 IPS |
|
|
Image Classification (Q)
|
96% |
1949
364.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8978
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17288
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14889
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
97% |
3213
255.8 IPS |
|
|
Object Detection (Q)
|
94% |
2300
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3799
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
6705
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3990
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7293
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13405
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9179
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22442
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33000
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27378
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5261
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4268
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6513
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6517
112.6 IPS |
