MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4151
Single Precision Score
6855
Half Precision Score
5589
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | September 23 2024 11:52 PM |
| 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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
2778
516.7 IPS |
|
|
Image Classification (Q)
|
96% |
1949
364.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8894
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17248
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14868
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
97% |
3203
255.0 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
4035
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13353
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9188
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22208
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32766
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27603
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5271
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5780
213.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4233
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4837
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4785
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6379
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6450
111.5 IPS |
