MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3938
Single Precision Score
5527
Half Precision Score
4549
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | August 15 2024 05:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 3.94 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1723
320.5 IPS |
|
|
Image Classification (HP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (Q)
|
99% |
2003
373.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1451
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8495
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16536
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14390
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (HP)
|
97% |
2541
202.3 IPS |
|
|
Object Detection (Q)
|
94% |
1941
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
5068
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3343
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6780
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9764
75.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4199
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19711
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31128
40.0 IPS |
|
|
Style Transfer (Q)
|
100% |
30637
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5080
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4235
156.9 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5135
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5108
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5008
86.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5032
87.0 IPS |
