MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18347
Single Precision Score
20551
Half Precision Score
15330
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | redgreen |
| Upload Date | October 31 2024 11:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
8228
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8183
1.52 KIPS |
|
|
Image Classification (Q)
|
99% |
8725
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16452
266.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17250
279.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
17377
281.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
92135
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
95676
111.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
87554
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
7839
621.8 IPS |
|
|
Object Detection (HP)
|
100% |
8670
687.7 IPS |
|
|
Object Detection (Q)
|
91% |
7505
599.7 IPS |
|
|
Face Detection (SP)
|
100% |
32471
385.8 IPS |
|
|
Face Detection (HP)
|
100% |
36100
428.9 IPS |
|
|
Face Detection (Q)
|
100% |
26407
313.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38450
296.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41020
316.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
6148
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
188557
242.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207661
267.0 IPS |
|
|
Style Transfer (Q)
|
100% |
208113
267.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24421
901.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26321
971.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21065
780.4 IPS |
|
|
Text Classification (SP)
|
100% |
2686
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4716
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2145
37.1 IPS |
