MacBook Pro (16-inch, 2024)
Geekbench AI Score
5706
Single Precision Score
8832
Half Precision Score
6870
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | topgun966 |
| Upload Date | February 11 2025 03:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3045
566.2 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3945
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18786
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30848
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23896
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.2 IPS |
|
|
Face Detection (SP)
|
100% |
4523
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7876
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4634
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14079
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10160
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35344
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48375
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38384
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9527
351.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5340
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5237
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5216
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5596
96.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8603
148.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8583
148.3 IPS |
