MacBook Pro (16-inch, 2024)
Geekbench AI Score
5963
Single Precision Score
9118
Half Precision Score
7035
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sammysheep |
| Upload Date | December 08 2024 08:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.8 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3592
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3974
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19292
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32044
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24930
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
97% |
3879
308.8 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8110
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4699
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8937
68.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14687
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10413
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37262
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52379
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39730
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9622
355.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5451
201.3 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5326
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5295
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6086
104.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9056
156.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9015
155.8 IPS |
