MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4759
Single Precision Score
29640
Half Precision Score
32703
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | November 17 2024 08:42 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
1494
277.9 IPS |
|
|
Image Classification (HP)
|
100% |
16302
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
17689
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21847
354.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27119
439.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16722
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120031
140.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
118666
139.1 IPS |
|
|
Object Detection (SP)
|
100% |
1971
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
16523
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
18589
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
38375
456.0 IPS |
|
|
Face Detection (Q)
|
100% |
49022
582.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7250
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100703
775.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
114984
899.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30670
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
218735
281.2 IPS |
|
|
Style Transfer (Q)
|
96% |
207833
268.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38530
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51819
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2673
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4669
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4818
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4746
81.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4666
80.6 IPS |
