MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4727
Single Precision Score
7373
Half Precision Score
5907
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 01:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
2427
451.4 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2686
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16229
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
27962
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
22018
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
97% |
2777
221.1 IPS |
|
|
Object Detection (Q)
|
94% |
2122
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
6399
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
3821
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12351
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8835
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30718
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41249
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33489
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5564
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7864
290.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5134
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4801
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4706
81.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7488
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6469
111.8 IPS |
