MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10079
Single Precision Score
11447
Half Precision Score
3488
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5855
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
6301
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
4689
875.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7708
125.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9780
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10129
164.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45435
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48255
56.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
43570
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
5777
458.2 IPS |
|
|
Object Detection (HP)
|
100% |
6058
480.5 IPS |
|
|
Object Detection (Q)
|
92% |
4973
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
16070
190.9 IPS |
|
|
Face Detection (HP)
|
100% |
20019
237.9 IPS |
|
|
Face Detection (Q)
|
100% |
13964
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27239
209.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31888
245.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
200.0 IPS |
|
|
Style Transfer (SP)
|
100% |
92866
119.4 IPS |
|
|
Style Transfer (HP)
|
100% |
106806
137.3 IPS |
|
|
Style Transfer (Q)
|
96% |
100124
129.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15873
586.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16335
603.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13166
486.2 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.6 IPS |
|
|
Text Classification (HP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (Q)
|
93% |
686
920.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2056
35.5 IPS |
