MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4785
Single Precision Score
29513
Half Precision Score
32256
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | December 06 2024 09:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C98) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1498
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
15710
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
17729
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21587
349.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26488
429.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16698
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120225
140.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
118430
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1981
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
16513
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
16461
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4056
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
37909
450.4 IPS |
|
|
Face Detection (Q)
|
100% |
49324
586.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7370
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100561
774.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
114200
892.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30760
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
219592
282.3 IPS |
|
|
Style Transfer (Q)
|
96% |
209746
270.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5775
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38266
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50056
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2843
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4833
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4661
80.6 IPS |
