MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4092
Single Precision Score
6794
Half Precision Score
5505
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tlonergan02 |
| Upload Date | November 04 2024 05:15 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1532
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
2770
515.1 IPS |
|
|
Image Classification (Q)
|
96% |
1934
361.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8723
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17149
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14804
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
97% |
3157
251.3 IPS |
|
|
Object Detection (Q)
|
94% |
2270
180.9 IPS |
|
|
Face Detection (SP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6389
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
3861
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13272
102.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9105
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22142
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33386
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27567
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5913
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4264
157.5 IPS |
|
|
Text Classification (SP)
|
100% |
2750
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4729
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4688
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6106
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6155
106.4 IPS |
