MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4380
Single Precision Score
7567
Half Precision Score
5955
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kiyang |
| Upload Date | September 26 2024 08:00 PM |
| Views | 10 |
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 (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.2 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3333
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16821
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28771
33.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
21576
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.6 IPS |
|
|
Object Detection (HP)
|
97% |
2972
236.6 IPS |
|
|
Object Detection (Q)
|
94% |
2183
174.0 IPS |
|
|
Face Detection (SP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
6481
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3865
45.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7374
56.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13084
101.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8989
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30597
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42476
54.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32952
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7880
291.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5085
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4770
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7083
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7118
123.0 IPS |
