MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4787
Single Precision Score
7522
Half Precision Score
6414
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Qetesh |
| Upload Date | August 16 2024 09:25 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.3 IPS |
|
|
Image Classification (HP)
|
100% |
2388
444.0 IPS |
|
|
Image Classification (Q)
|
99% |
2375
442.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2759
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16776
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28633
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
21267
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.1 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2166
172.6 IPS |
|
|
Face Detection (SP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3894
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7333
56.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13180
101.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
13180
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30762
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44390
57.1 IPS |
|
|
Style Transfer (Q)
|
100% |
44252
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7774
287.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4965
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5023
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4975
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6930
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6968
120.4 IPS |
