MacBook Pro (16-inch, 2024)
Geekbench AI Score
5710
Single Precision Score
8914
Half Precision Score
6869
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | machinecoach |
| Upload Date | December 09 2024 08:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3026
562.7 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3565
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3908
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18760
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31728
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23731
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.6 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
4388
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
7638
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4582
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8684
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14671
113.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10025
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35447
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48519
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39126
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9527
351.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5382
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5233
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5714
98.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8763
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8752
151.3 IPS |
