MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4235
Single Precision Score
6996
Half Precision Score
5656
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | December 06 2024 05:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.2 IPS |
|
|
Image Classification (Q)
|
96% |
1945
363.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8982
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17294
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14950
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3229
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3766
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6673
79.3 IPS |
|
|
Face Detection (Q)
|
100% |
4031
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7294
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13436
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9231
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22522
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33791
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27987
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6064
223.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4956
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4968
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
64.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6614
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6572
113.6 IPS |
