MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17799
Single Precision Score
19535
Half Precision Score
14861
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | September 10 2024 02:53 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7979
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8405
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
7525
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16775
271.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17455
283.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
17164
278.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
92235
107.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
95464
111.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
83996
98.4 IPS |
|
|
Object Detection (SP)
|
100% |
7751
614.8 IPS |
|
|
Object Detection (HP)
|
100% |
8467
671.6 IPS |
|
|
Object Detection (Q)
|
91% |
6981
557.9 IPS |
|
|
Face Detection (SP)
|
100% |
32614
387.5 IPS |
|
|
Face Detection (HP)
|
100% |
35701
424.2 IPS |
|
|
Face Detection (Q)
|
100% |
25702
305.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38630
297.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41118
316.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
6106
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
185619
238.6 IPS |
|
|
Style Transfer (HP)
|
100% |
206844
265.9 IPS |
|
|
Style Transfer (Q)
|
100% |
197973
254.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24448
902.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25734
950.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18795
696.3 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4727
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2514
43.4 IPS |
