MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4440
Single Precision Score
7396
Half Precision Score
6326
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 12:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
2412
448.5 IPS |
|
|
Image Classification (Q)
|
99% |
2403
448.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2696
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16806
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28790
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21102
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
1977
156.8 IPS |
|
|
Object Detection (HP)
|
97% |
2961
235.7 IPS |
|
|
Object Detection (Q)
|
94% |
2197
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
6685
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3955
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7372
56.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12951
100.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13000
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30642
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41975
54.0 IPS |
|
|
Style Transfer (Q)
|
100% |
42204
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7684
283.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5026
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2637
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4563
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4517
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6911
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
