MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3896
Single Precision Score
5436
Half Precision Score
4764
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | eric_arbanovella |
| Upload Date | October 03 2024 04:21 PM |
| Views | 4 |
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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.4 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2170
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8683
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17203
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14828
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
97% |
2578
205.3 IPS |
|
|
Object Detection (Q)
|
94% |
1974
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5135
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
3429
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6785
52.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
9787
75.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7505
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19771
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30836
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25774
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4960
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5170
190.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4288
158.4 IPS |
|
|
Text Classification (SP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4529
6.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4512
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4798
82.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4731
81.8 IPS |
