MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4712
Single Precision Score
30803
Half Precision Score
33407
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | twichi |
| Upload Date | January 28 2025 03:45 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1483
275.8 IPS |
|
|
Image Classification (HP)
|
100% |
16728
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
18645
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21817
353.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27609
447.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16625
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120714
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119352
139.9 IPS |
|
|
Object Detection (SP)
|
100% |
1874
148.6 IPS |
|
|
Object Detection (HP)
|
100% |
19120
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
17491
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
37554
446.2 IPS |
|
|
Face Detection (Q)
|
100% |
49064
583.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7452
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103489
797.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
120707
943.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30690
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
220561
283.5 IPS |
|
|
Style Transfer (Q)
|
96% |
211248
272.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40033
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50675
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4979
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4464
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4771
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5104
88.2 IPS |
