MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4827
Single Precision Score
7556
Half Precision Score
6018
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | TrickyGizmo |
| Upload Date | November 14 2024 06:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1515
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.6 IPS |
|
|
Image Classification (Q)
|
96% |
1789
334.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16730
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27962
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
21542
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
1979
157.0 IPS |
|
|
Object Detection (HP)
|
97% |
2997
238.6 IPS |
|
|
Object Detection (Q)
|
94% |
2193
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3975
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7400
57.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13405
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9415
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30751
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44325
57.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33604
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8070
298.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5142
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
2733
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4776
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4732
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4863
83.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7157
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7146
123.5 IPS |
