MacBook Pro (16-inch, 2024) - Baba MacBook Pro 16 M4 Pro MacBook Pro (16-inch, 2024)
Geekbench AI Score
5737
Single Precision Score
36644
Half Precision Score
49344
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rahul1987 |
| Upload Date | January 29 2025 02:33 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
17350
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22424
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23148
375.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32192
521.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18847
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123300
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229327
268.8 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
19628
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23723
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
44502
528.8 IPS |
|
|
Face Detection (Q)
|
100% |
63513
754.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8730
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111527
859.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177417
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35677
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238026
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299747
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46570
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77938
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4927
6.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5086
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5660
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16570
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16278
281.3 IPS |
