MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4163
Single Precision Score
24584
Half Precision Score
27319
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | August 16 2024 07:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1588
295.3 IPS |
|
|
Image Classification (HP)
|
100% |
15640
2.91 KIPS |
|
|
Image Classification (Q)
|
99% |
17125
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1991
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14085
228.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
14092
228.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
118097
137.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
118169
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
1828
145.0 IPS |
|
|
Object Detection (HP)
|
100% |
16112
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
19897
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3707
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
25951
308.4 IPS |
|
|
Face Detection (Q)
|
100% |
39395
468.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7201
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81051
624.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
90587
700.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22450
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
168580
216.7 IPS |
|
|
Style Transfer (Q)
|
100% |
168525
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5240
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43826
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54714
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2734
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4705
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4737
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2619
45.3 IPS |
