EA MacBook Pro (16-inch, Nov 2023) MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3872
Single Precision Score
5413
Half Precision Score
4732
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | eric_arbanovella |
| Upload Date | October 03 2024 04:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 4.02 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1714
318.7 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2174
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8587
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14596
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (HP)
|
97% |
2559
203.7 IPS |
|
|
Object Detection (Q)
|
94% |
1936
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
5061
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
3409
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
9538
73.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7454
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19706
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29460
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25629
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4965
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4171
154.0 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4567
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4761
82.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4717
81.5 IPS |
