MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4777
Single Precision Score
29558
Half Precision Score
32582
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 07:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1505
280.0 IPS |
|
|
Image Classification (HP)
|
100% |
15851
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
17055
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21515
348.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27088
439.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16667
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120738
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
118836
139.3 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
17219
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
17282
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
36720
436.3 IPS |
|
|
Face Detection (Q)
|
100% |
49219
584.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7229
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100769
776.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
115421
902.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31039
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
218949
281.5 IPS |
|
|
Style Transfer (Q)
|
96% |
207622
267.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37269
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52244
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2708
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4777
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4889
6.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4794
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4979
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
