MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4804
Single Precision Score
7416
Half Precision Score
5955
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SPD298 |
| Upload Date | September 26 2024 04:47 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1505
279.9 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
96% |
1820
339.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2677
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16737
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28633
33.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
21805
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (HP)
|
97% |
2937
233.8 IPS |
|
|
Object Detection (Q)
|
94% |
2170
173.0 IPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
6523
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3965
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7270
56.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12793
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8852
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30759
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
43238
55.6 IPS |
|
|
Style Transfer (Q)
|
96% |
33377
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7709
284.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4663
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7068
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7050
121.8 IPS |
